{"text_format":"1","workbook":"xlsx","n_sheets":4,"sheets":["Simulation assumption","KPIs","Results","Figures"],"not_rendered":{"charts":1,"images":0,"macros":1,"external_links":0,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900"}

{"sheet":"Simulation assumption","index":0,"n_rows":29,"n_cols":7,"rows_kept":29,"cut":false,"hidden":false,"merged":[[0,0,0,1],[4,0,6,0]]}
["SLS simulation assumption",null,"NTT DOCOMO","Huawei","Mediatek","OPPO","vivo"]
["Parameter","Values"]
["Frequency Range","FR1 @4GHz with SCS 30KHz"]
["Deployment","\n2-tier model with wrap-around (7 sites, 3 sectors/cells per site)\n"]
["Channel model","UMa with distance-dependent LoS probability function defined in Table 7.4.2-1 in TR 38.901.\nFast fading is necessary. \nOxygen absorption, Time-varying Doppler shift , Explicit ground reflection model and blockage are not considered."]
[null,"Whether LOSsoft is modeled or not","No","No","Yes","No","No"]
[null,"spatial consistency option (A or B)","A","B","A","A","A"]
["System BW","20MHz"]
["UE Speed","30km/h (baseline), 60km/h (optional), 90km/h (optional)\nOther values are not precluded","90 km/h"," 30, 60, 90, 120 km/hr"," 30, 90 km/hr"," 30km/h"," 30, 60, 90 km/h"]
["UE distribution","100% outdoor","100% outdoor"]
["BS Antenna Configuration"," Companies need to report which option(s) are used between\n- 32 ports: (8,8,2,1,1,2,8), (dH,dV) = (0.5, 0.8)λ\n- 16 ports: (8,4,2,1,1,2,4), (dH,dV) = (0.5, 0.8)λ\nOther configurations are not precluded."," 32 ports: (8,8,2,1,1,2,8), (dH,dV) = (0.5, 0.8)λ","32 ports: (8,8,2,1,1,2,8), (dH,dV) = (0.5, 0.8)λ",null,null,"32 ports: (8,8,2,1,1,2,8), (dH,dV) = (0.5, 0.8)λ"]
["BS Antenna radiation pattern","3-sector antenna radiation pattern, 8 dBi"]
["UE Antenna Configuration","4RX: (1,2,2,1,1,1,2), (dH,dV) = (0.5, 0.5)λ for (rank 1-4)\n2RX: (1,1,2,1,1,1,1), (dH,dV) = (0.5, 0.5)λ for (rank 1,2)\nOther configuration is not precluded.","2RX: (1,1,2,1,1,1,1), (dH,dV) = (0.5, 0.5)λ for (rank 1,2)","4RX: (1,2,2,1,1,1,2), (dH,dV) = (0.5, 0.5)λ for (rank 1-4)",null,null,"2RX: (1,1,2,1,1,1,1), (dH,dV) = (0.5, 0.5)λ\n "]
["UE Antenna radiation pattern","Omni-direction"]
["BS Tx Power","44dBm"]
["Maximum UE Tx Power","23 dBm"]
["BS receiver Noise Figure","5 dB"]
["UE receiver Noise Figure","9 dB"]
["Inter site distance","500m ISD for FR1"]
["BS Antenna height","25m"]
["UE Antenna height","1.5 m"]
["UE trajectory model","Option #1, Option #2, or option #3\nReported by companies","Option 3","Option1","Option1","Option1","Option1"]
["UE trajectory boundary processing","Option #1, Option #2, or option #3 \nReported by companies","Option 3","Option1","Option2","Option3","Option2"]
["L1/L3 filtering","Option #Sliding, Option #Non-sliding\nReported by companies","Sliding","Non-sliding","both","Option #Sliding","both"]
["Measurement period","200ms"]
["FilterCoefficient",4]
["Number of Tx beams","Reported by companies",4,4,4,1,1]
["Number of Rx beams","Reported by companies",1,1,1,1,1]
["Filtering Option","For sub-use case 2, Option #1, Option #2 and Option #3. Reported by companies. For other sub-use case, it is blank. ","Option 1",null,"Option #3","Option #3","Option1"]

{"sheet":"KPIs","index":1,"n_rows":10,"n_cols":6,"rows_kept":10,"cut":false,"hidden":false,"merged":[]}
["Intermediate KPIs","Description/Definition","NTT DOCOMO"," Mediatek","OPPO"," vivo"]
["Average L3 cell RSRP difference (dB)","Average L3 RSRP difference between the predicted and actual L3 cell-level measurement result for each individual point within the PW, and then averaged across all the points in the PW. ","Method: Average cross multiple cells","Method: Average cross multiple cells","Method: Average across multiple instances of serving cell of multiple UE trajectories","Method: Average cross multiple cells"]
["Last predicted point L3 cell RSRP difference (dB)","Average L3 RSRP difference between predicted and ideal L3 cell-level measurement result for the last point in PW."]
["Multiple predicted point L3 cell RSRP differences (dB)","Average L3 RSRP difference between predicted and ideal L3 cell-level measurement result for each individul point in PW. Multiple values are provided if there are multiple points within the PW."]
["F1 score","2*Precision*Recall/(Precision + Recall)"]
["Precision","n3/(n1+n3)"]
["Recall","n3/(n2+n3)"]
["n1 (false event detection)","it increases by 1 when no real event occurs around a predicted event with ETD, whose range is [0, maximum ETD]"]
["n2 (missed event detection)","it increases by 1 when no event is predicted around a real event with ETD, whose range is [0, maximum ETD]"]
["n3 (true event prediction)","it increases by 1 when a real event occurs around a predicted event with ETD, whose range is [0, maximum ETD] or vice versa"]

{"sheet":"Results","index":2,"n_rows":114,"n_cols":41,"rows_kept":114,"cut":false,"hidden":false,"merged":[[0,38,0,40],[0,0,0,3],[0,4,0,10],[0,11,0,19],[0,20,0,28],[0,29,0,34],[0,35,0,37]]}
["General",null,null,null,"Variable Settings",null,null,null,null,null,null,"Configurable/Selectable Simulation Assumption",null,null,null,null,null,null,null,null,"Model Related Information",null,null,null,null,null,null,null,null,"Intermediate Performance Metrics ",null,null,null,null,null,"SLS Performance Metrics (Baseline)",null,null,"SLS Performance Metrics (HO Option 3)"]
["Company","Sub-use case","Filtering option","Other factors","MRRT\n(%)","Observation window\n(ms)","Prediction window\n(ms)","A3 event offset \n(dB)","TTT\n(ms)","max ETD\n(ms)","UE speed\n(km/h)","Spatial consistency","Whether LOSsoft is modeled or not","UE trajectory model","UE trajectory boundary processing","L1/L3 filtering\n(Sliding/Non-sliding)","CaseB detail pattern\n(example 1/2, others)","Use earlier predicted results as input or not","Number of Tx beams","Number of Rx beams","Model input","Model output/label","Model type  ","Detail of model ","Model complexity\nin a number of model parameters (K)","Model complexity\nin a number of model size (KByte)","Computational complexity [FLOPs] (M)","Training data size in number of samples (K)","Testing data size in number of samples (K)","F1 score","Precision ","Recall ","Average L3 cell RSRP difference (dB)","Last predicted point L3 cell RSRP difference (dB) ","Multiple predicted point L3 cell RSRP differences (dB)","HO failure rate\n(%)","Total number of HOF per UE per second","Total number of HO attempts per UE per second","HO failure rate\n(%)","Total number of HOF per UE per second","Total number of HO attempts per UE per second"]
["Name","1/2/3","Option1/Option2/Option3","Additional consideration (e.g. Cell/Cluster-based)","XX","XX","XX","XX","XX","XX","XX","A/B","YES/NO","1/2/3","1/2/3","Sliding/Non-sliding","1/2","YES/NO","XX","XX","Number of cell(s),\nMesurement quantity (L1 beam level, L1-filterd beam-level, L3 cell-level, L3 beam-level measurement results)","Number of cell(s),\nMeasurement quantity (L1 beam level, L1-filterd beam-level, L3 cell-level, L3 beam-level measurement results)","AI/Non-AI: Method (e.g. RNN,CNN,Sample and hold, Decision tree, etc)","e.g.,model structure and description","XX","XX","XX","XX","XX","XX","XX","XX","XX","XX","[XX, XX, XX..]","XX","XX","XX","XX","XX","XX"]
["NTT DOCOMO",3,"Option1","Cluster-based",50,40,40,2,320,80,30,"A","NO","3","3","Sliding","2","NO","4",1,"7 cell, L1-filtered beam-level RSRP","7 cell, L1-filtered beam-level RSRP","AI:Transformer","6 layers Transformer decoder",9490,37196,95.24,1508,377,0.91,0.97,0.86,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,15,1.4999999999999999E-2,0.11,16,1.6E-2,0.1]
["NTT DOCOMO",3,"Option1","Cluster-based",50,40,40,2,320,80,60,"A","NO","3","3","Sliding","2","NO","4",1,"7 cell,  L3 cell-level RSRP  ","7 cell,  L3 cell-level RSRP  ","AI:Transformer","6 layers Transformer decoder",9480,37154,95.08,1508,377,0.9,0.96,0.85,0.09,0.09,0.09,20,3.6999999999999998E-2,0.19,23,4.2000000000000003E-2,0.19]
["NTT DOCOMO",3,"Option1","Cluster-based",50,40,40,2,320,80,90,"A","NO","3","3","Sliding","2","NO","4",1,"7 cell, L1-filtered beam-level RSRP","7 cell,  L3 cell-level RSRP  ","AI:Transformer","6 layers Transformer decoder",9480,37183,95.13,1508,377,0.91,0.96,0.86,0.1,0.1,0.1,17,7.1999999999999995E-2,0.27,30,7.9000000000000001E-2,0.27]
["NTT DOCOMO",3,"Option1","Cluster-based",50,40,40,2,80,80,30,"A","NO","3","3","Sliding","2","NO","4",1,"7 cell, L1-filtered beam-level RSRP","7 cell, L1-filtered beam-level RSRP","AI:Transformer","6 layers Transformer decoder",9490,37196,95.24,1508,377,0.97,0.97,0.96,7.0000000000000007E-2,7.0000000000000007E-2,7.0000000000000007E-2,9,0.01,0.11,8,0.01,0.11]
["NTT DOCOMO",3,"Option1","Cluster-based",50,40,40,2,80,80,60,"A","NO","3","3","Sliding","2","NO","4",1,"7 cell,  L3 cell-level RSRP  ","7 cell,  L3 cell-level RSRP  ","AI:Transformer","6 layers Transformer decoder",9480,37154,95.08,1508,377,0.96,0.96,0.95,0.09,0.09,0.09,14,2.9000000000000001E-2,0.21,14,2.9000000000000001E-2,0.21]
["NTT DOCOMO",3,"Option1","Cluster-based",50,40,40,2,80,80,90,"A","NO","3","3","Sliding","2","NO","4",1,"7 cell, L1-filtered beam-level RSRP","7 cell,  L3 cell-level RSRP  ","AI:Transformer","6 layers Transformer decoder",9480,37183,95.13,1508,377,0.95,0.96,0.95,0.1,0.1,0.1,18,5.6000000000000001E-2,0.31,18,5.6000000000000001E-2,0.31]
["Apple",2,"option1","cell",50,600,200,2,320,null,30,"A","YES","1","3","non-sliding","2","YES",1,1,"1 cell L3 cell-level RSRP  ","1 cell L3 cell-level RSRP  ","sample and hold",null,null,null,null,480,120,null,null,null,null,null,null,null,null,null,17.149999999999999,null,1.9E-2]
["Apple",2,"option1","cell",50,600,200,2,320,null,30,"A","YES","1","3","non-sliding","2","YES",1,1,"1 cell L3 cell-level RSRP  ","1 cell L3 cell-level RSRP  ","FFNN","hidden layer size 64",129,"~1KB","~320",480,120,null,null,null,null,null,null,null,null,null,12.42,null,1.6400000000000001E-2]
["Apple",2,"option1","cell",50,600,200,2,320,null,30,"A","YES","1","3","non-sliding","2","YES",1,1,"1 cell L3 cell-level RSRP  ","1 cell L3 cell-level RSRP  ","AR",null,3,"24bytes",2,480,120,null,null,null,null,null,null,null,null,null,11.83,null,1.6E-2]
["Apple",2,"option1","cell",50,1000,200,2,320,null,30,"A","YES","1","3","non-sliding","2","YES",1,1,"1 cell L3 cell-level RSRP  ","1 cell L3 cell-level RSRP  ","sample and hold",null,null,null,null,480,120,null,null,null,null,null,null,null,null,null,17.149999999999999,null,1.9E-2]
["Apple",2,"option1","cell",50,1000,200,2,320,null,30,"A","YES","1","3","non-sliding","2","YES",1,1,"1 cell L3 cell-level RSRP  ","1 cell L3 cell-level RSRP  ","FFNN","hidden layer size 64",129,"~1KB","~320",480,120,null,null,null,null,null,null,null,null,null,12.12,null,1.6299999999999999E-2]
["Apple",2,"option1","cell",50,1000,200,2,320,null,30,"A","YES","1","3","non-sliding","2","YES",1,1,"1 cell L3 cell-level RSRP  ","1 cell L3 cell-level RSRP  ","AR",null,3,"24bytes",2,480,120,null,null,null,null,null,null,null,null,null,11.87,null,161]
["vivo",1,"Option1","Cell-based",50,2000,200,2,320,80,30,"A","No",1,2,"non-Sliding","2","NO",1,1,"1 cell, L1-filterd beam-level","1 cell, L1-filterd beam-level","AI: LSTM","1LSTM layer and 1 FNN layer",16,68,0.84199999999999997,160,40,0.99,0.99519999999999997,0.99050000000000005,0.67,0.67,0.67,0.57999999999999996,8.0000000000000004E-4,0.13100000000000001,0.87,1.1000000000000001E-3,0.13139999999999999]
["vivo",1,"Option1","Cell-based",50,2000,200,2,320,80,30,"A","No",1,2,"non-Sliding","2","NO",1,1,"1 cell,L1-filterd beam-level","1 cell, L1-filterd beam-level","Non-AI: Sample and hold","Replace the\npredicted measurement with the last observation measurement",null,null,null,160,40,0.99,0.99480000000000002,0.98870000000000002,0.79,0.79,0.79]
["vivo",1,"Option1","Cell-based",50,2000,200,2,320,80,60,"A","No",1,2,"non-Sliding","2","NO",1,1,"1 cell,L1-filterd beam-level","1 cell, L1-filterd beam-level","AI:LSTM","1LSTM layer and 1 FNN layer",16,68,0.84199999999999997,160,40,0.99,0.99299999999999999,0.98929999999999996,1.24,1.24,1.24]
["vivo",1,"Option1","Cell-based",50,2000,200,2,320,80,60,"A","No",1,2,"non-Sliding","2","NO",1,1,"1 cell,L1-filterd beam-level","1 cell, L1-filterd beam-level","Non-AI: Sample and hold","Replace the\npredicted measurement with the last observation measurement",null,null,null,160,40,0.99,0.99260000000000004,0.98709999999999998,1.41,1.41,1.41]
["vivo",1,"Option1","Cell-based",50,2000,200,2,320,80,90,"A","No",1,2,"non-Sliding","2","NO",1,1,"1 cell, L1-filterd beam-level","1 cell, L1-filterd beam-level","AI: LSTM","1LSTM layer and 1 FNN layer",16,68,0.84199999999999997,160,40,0.99,0.99280000000000002,0.98839999999999995,1.78,1.78,1.78]
["vivo",1,"Option1","Cell-based",50,2000,200,2,320,80,90,"A","No",1,2,"non-Sliding","2","NO",1,1,"1 cell,L1-filterd beam-level","1 cell,L1-filterd beam-level","Non-AI: Sample and hold","Replace the\npredicted measurement with the last observation measurement",null,null,null,160,40,0.99,0.99239999999999995,0.98619999999999997,1.95,1.95,1.95]
["Xiaomi",2,"Option 1","Cell-based",50,40,40,2,320,80,30,"A","No","1","2","Sliding","2","NO",1,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI-GRU","1 layer of GRU  based on encoder-decoder with 1 layer of FNN",74461,922,0.75719999999999998,188.55699999999999,26.085000000000001,0.9919,0.99729999999999996,0.98660000000000003,0.65800000000000003]
["Nokia",2,"Option3","Cluster-based",50,80,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.86504445055448598,0.92127867252318196,0.81528029714088202]
["Nokia",2,"Option3","Cluster-based",50,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.86504445055448598,0.92127867252318196,0.81528029714088202]
["Nokia",2,"Option3","Cluster-based",66,80,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.81975119982808398,0.91664441715170597,0.74138377818087497]
["Nokia",2,"Option3","Cluster-based",66,800,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.81975119982808398,0.91664441715170597,0.74138377818087497]
["Nokia",2,"Option3","Cluster-based",80,80,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.55940630982273798,0.65911887046692796,0.48589876479226002]
["Nokia",2,"Option3","Cluster-based",80,800,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.55940630982273798,0.65911887046692796,0.48589876479226002]
["Nokia",2,"Option3","Cluster-based",90,80,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.37401057178888603,0.49376549769748401,0.30100630560594199]
["Nokia",2,"Option3","Cluster-based",90,800,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","Non-AI: Sample and hold",null,null,null,null,300000,130000,0.37401057178888603,0.49376549769748401,0.30100630560594199]
["Nokia",2,"Option3","Cluster-based",50,80,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.95757891537492901,0.96272044700541204,0.95249201001986605]
["Nokia",2,"Option3","Cluster-based",50,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.94695601070892199,0.95453947079731405,0.93949209639803]
["Nokia",2,"Option3","Cluster-based",66,80,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.94316857774438301,0.95127951674903899,0.93519478275891799]
["Nokia",2,"Option3","Cluster-based",66,800,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.92696973678447803,0.94018745557924599,0.91411851084045903]
["Nokia",2,"Option3","Cluster-based",80,80,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.93050125586982602,0.94125314833635199,0.91999222596527597]
["Nokia",2,"Option3","Cluster-based",80,800,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.91111184405818102,0.92803870187462201,0.89479139673490504]
["Nokia",2,"Option3","Cluster-based",90,80,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.92256317100497098,0.92946849315068403,0.91575969594886397]
["Nokia",2,"Option3","Cluster-based",90,800,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Linear regression",null,null,null,null,300000,130000,0.89846343911667004,0.91830706442084298,0.87945927269586199]
["Nokia",2,"Option3","Cluster-based",50,80,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.83947907212360395,0.82095529042645399,0.85885808067720404]
["Nokia",2,"Option3","Cluster-based",50,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.83852060377517001,0.81635407931605697,0.86192450548501298]
["Nokia",2,"Option3","Cluster-based",66,80,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.76558460212582602,0.72928068803752899,0.80569232098125598]
["Nokia",2,"Option3","Cluster-based",66,800,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.76565708156698498,0.72648147789171602,0.80929860931156605]
["Nokia",2,"Option3","Cluster-based",80,80,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.67022477894961097,0.66138934443463204,0.67929947309320204]
["Nokia",2,"Option3","Cluster-based",80,800,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.65278555732689902,0.65124226272352104,0.65433618381273195]
["Nokia",2,"Option3","Cluster-based",90,80,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.57930239652893101,0.60753643796658297,0.55357605597305004]
["Nokia",2,"Option3","Cluster-based",90,800,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Random forest",null,null,null,null,300000,130000,0.57467525132723296,0.60248211832693799,0.54932193141573804]
["Nokia",2,"Option3","Cluster-based",50,80,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.95239655341873297,0.96341220918671699,0.94162995594713605]
["Nokia",2,"Option3","Cluster-based",50,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.95150932680966305,0.96256849920452503,0.94070139068843395]
["Nokia",2,"Option3","Cluster-based",66,80,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.93384100713090901,0.95211381384076799,0.91625637038956498]
["Nokia",2,"Option3","Cluster-based",66,800,80,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.93627229809290002,0.954603594910576,0.91863176988857198]
["Nokia",2,"Option3","Cluster-based",80,80,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.91849883759548301,0.94234700831402396,0.89582793469810795]
["Nokia",2,"Option3","Cluster-based",80,800,160,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.92060157027535106,0.94340691718417102,0.898872764965016]
["Nokia",2,"Option3","Cluster-based",90,80,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.90872301158472801,0.93652321371281899,0.88252569750367105]
["Nokia",2,"Option3","Cluster-based",90,800,360,2,320,80,30,"B","YES","3","3","Sliding","2","NO",4,1,"2 cells, L3-filterd cell-level","2 cells, L3-filterd cell-level","AI: Gradient boosting",null,null,null,null,300000,130000,0.91062098405851799,0.93839068872290698,0.88444761164377605]
["Huawei",2,"Option3","Cell-based",50,120,40,2,320,80,30,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.95648719289074757,0.96,0.95299999999999996,0.17449999999999999]
["Huawei",2,"Option3","Cell-based",50,120,40,2,320,80,60,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.9147540983606558,0.93,0.9,0.29699999999999999]
["Huawei",2,"Option3","Cell-based",50,120,40,2,320,80,90,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.83,0.83,0.83,0.39700000000000002]
["Huawei",2,"Option3","Cell-based",50,120,120,2,320,80,30,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.70943661971830974,0.73,0.69,0.7]
["Huawei",2,"Option3","Cell-based",50,120,120,2,320,80,60,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.6646616541353384,0.68,0.65,1.1499999999999999]
["Huawei",2,"Option3","Cell-based",50,120,120,2,320,80,90,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.57637435008665516,0.59599999999999997,0.55800000000000005,1.49]
["Huawei",2,"Option3","Cell-based",50,120,200,2,320,80,30,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.17371428571428574,0.19,0.16,1.2589999999999999]
["Huawei",2,"Option3","Cell-based",50,120,200,2,320,80,60,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.1348148148148148,0.14000000000000001,0.13,2.004]
["Huawei",2,"Option3","Cell-based",50,120,200,2,320,80,90,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,7.7974683544303799E-2,8.7999999999999995E-2,7.0000000000000007E-2,2.5350000000000001]
["Huawei",2,"Option3","Cell-based",66,160,80,2,320,80,30,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.87525985151342101,0.89,0.86099999999999999,0.14230000000000001]
["Huawei",2,"Option3","Cell-based",66,160,80,2,320,80,60,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.82490181818181818,0.83399999999999996,0.81599999999999995,0.246]
["Huawei",2,"Option3","Cell-based",66,160,80,2,320,80,90,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.79391818753933296,0.81599999999999995,0.77300000000000002,0.34300000000000003]
["Huawei",2,"Option3","Cell-based",66,160,200,2,320,80,30,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.25961538461538464,0.27,0.25,0.6]
["Huawei",2,"Option3","Cell-based",66,160,200,2,320,80,60,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.20390243902439026,0.22,0.19,1]
["Huawei",2,"Option3","Cell-based",66,160,200,2,320,80,90,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,0.20195121951219511,0.23,0.18,1.2949999999999999]
["Huawei",2,"Option3","Cell-based",66,160,320,2,320,80,30,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,4.9252525252525249E-2,5.2999999999999999E-2,4.5999999999999999E-2,1.163]
["Huawei",2,"Option3","Cell-based",66,160,320,2,320,80,60,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,5.6528925619834712E-2,7.5999999999999998E-2,4.4999999999999998E-2,1.861]
["Huawei",2,"Option3","Cell-based",66,160,320,2,320,80,90,"B","NO",1,"1","Sliding","2","NO",4,1,"1 cell, L3 cell-level RSRP  ","1 cell, L3 cell-level RSRP  ","AI: LSTM","3 LSTM layers and 1 full-connectivity layer",80,350,1.03,4300,30,5.7786885245901642E-2,7.4999999999999997E-2,4.7E-2,2.2959999999999998]
["Mediatek",2,"Option3","Cluster-based",50,1600,40,2,320,80,30,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","AI: CNN","2 layers of convolution layer and 1 FNN layer",51,204,3.02,320,80,0.67800000000000005,0.65800000000000003,0.7,5.8999999999999997E-2]
["Mediatek",2,"Option3","Non-AI: sample and hold",50,1600,40,2,320,80,30,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","Non-AI: Sample and hold","Replace the\npredicted measurement with the last observation measurement",null,null,null,null,null,0.68,0.66100000000000003,0.7,0.124]
["Mediatek",2,"Option3","Legacy HO",0,0,null,2,320,80,30,"A","YES",1,2,"Sliding","2","NO",4,1]
["Mediatek",2,"Option3","Cluster-based",50,1600,40,2,320,80,90,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","AI: CNN","2 layers of convolution layer and 1 FNN layer",51,204,3.02,320,80,0.72799999999999998,0.72199999999999998,0.73399999999999999,0.06]
["Mediatek",2,"Option3","Non-AI: sample and hold",50,1600,40,2,320,80,90,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","Non-AI: Sample and hold","Replace the\npredicted measurement with the last observation measurement",null,null,null,null,null,0.73699999999999999,0.73499999999999999,0.73899999999999999,0.14899999999999999]
["Mediatek",2,"Option3","Legacy HO",0,0,null,2,320,80,90,"A","YES",1,2,"Sliding","2","NO",4,1]
["Mediatek",2,"Option3","Cluster-based",80,1600,160,2,320,80,30,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","AI: CNN","2 layers of convolution layer and 1 FNN layer",51,204,3.02,320,80,0.23599999999999999,0.214,0.26300000000000001,0.24099999999999999]
["Mediatek",2,"Option3","Non-AI: sample and hold",80,1600,160,2,320,80,30,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","Non-AI: Sample and hold","Replace the\npredicted measurement with the last observation measurement",null,null,null,null,null,0.32,0.29299999999999998,0.35199999999999998,0.29299999999999998]
["Mediatek",2,"Option3","Legacy HO",0,0,null,2,320,80,30,"A","YES",1,2,"Sliding","2","NO",4,1]
["Mediatek",2,"Option3","Cluster-based",50,1600,160,2,320,80,90,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","AI: CNN","2 layers of convolution layer and 1 FNN layer",51,204,3.02,320,80,0.216,0.2,0.23400000000000001,0.27600000000000002]
["Mediatek",2,"Option3","Non-AI: sample and hold",80,1600,160,2,320,80,90,"A","YES",1,2,"Sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","Non-AI: Sample and hold","Replace the\npredicted measurement with the last observation measurement",null,null,null,null,null,0.36499999999999999,0.34899999999999998,0.38200000000000001,0.35499999999999998]
["Mediatek",2,"Option3","Legacy HO",0,0,null,2,320,80,90,"A","YES",1,2,"Sliding","2","NO",4,1]
["Samsung",2,"Option3","Cell-based",50,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,36,29]
["Samsung",2,"Option3","Cell-based",50,800,80,2,320,80,60,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,36,29]
["Samsung",2,"Option3","Cell-based",50,800,160,2,320,80,90,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,36,29]
["Samsung",2,"Option3","Cell-based",66,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,18,14]
["Samsung",2,"Option3","Cell-based",66,800,80,2,320,80,60,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,18,14]
["Samsung",2,"Option3","Cell-based",66,800,160,2,320,80,90,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,18,14]
["Samsung",2,"Option3","Cell-based",80,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,17,14]
["Samsung",2,"Option3","Cell-based",80,800,80,2,320,80,60,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,17,14]
["Samsung",2,"Option3","Cell-based",80,800,160,2,320,80,90,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,17,14]
["Samsung",2,"Option3","Legacy (No meas. Reduction)",0,0,null,2,320,null,30,"B","YES","3","3","Sliding","2","NO",1,1]
["Samsung",2,"Option3","Legacy (No meas. Reduction)",0,0,null,2,320,null,60,"B","YES","3","3","Slding","2","NO",1,1]
["Samsung",2,"Option3","Legacy (No meas. Reduction)",0,0,null,2,320,null,90,"B","YES","3","3","Slding","2","NO",1,1]
["Samsung",2,"Option3","Cell-based",50,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,36,29]
["Samsung",2,"Option3","Cell-based",50,800,80,2,320,80,60,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,36,29]
["Samsung",2,"Option3","Cell-based",50,800,160,2,320,80,90,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,36,29]
["Samsung",2,"Option3","Cell-based",66,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,18,14]
["Samsung",2,"Option3","Cell-based",66,800,80,2,320,80,60,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,18,14]
["Samsung",2,"Option3","Cell-based",66,800,160,2,320,80,90,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,18,14]
["Samsung",2,"Option3","Cell-based",80,800,40,2,320,80,30,"B","YES","3","3","Sliding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,17,14]
["Samsung",2,"Option3","Cell-based",80,800,80,2,320,80,60,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,17,14]
["Samsung",2,"Option3","Cell-based",80,800,160,2,320,80,90,"B","YES","3","3","Slding","2","NO",1,1,"1 cell, L3 cell-level RSRP","1 cell, L3 cell-level RSRP","LSTM autoencoder","2 LSTM layers for encoder \n2 LSTEM layers + 3 dense layers for decoder",273,3280,0.6,17,14]
["Samsung",2,"Option3","Legacy (No meas. Reduction)",0,0,null,2,320,null,30,"B","YES","3","3","Sliding","2","NO",1,1]
["Samsung",2,"Option3","Legacy (No meas. Reduction)",0,0,null,2,320,null,60,"B","YES","3","3","Slding","2","NO",1,1]
["Samsung",2,"Option3","Legacy (No meas. Reduction)",0,0,null,2,320,null,90,"B","YES","3","3","Slding","2","NO",1,1]
["Interdigital",2,null,null,50,1000,200,2,200,80,90,"A","Yes",1,3,"Non-sliding",2,"NO",4,1,"21 cells, L3 cell-level RSRPs","21 cells, L3 cell-level RSRPs","AI:CNN",null,98,null,0.26900000000000002,16.72,4.18,0.95030000000000003,0.98570000000000002,0.9173,3.6700000000000003E-2]
["CATT",2,"Option3","Cluster-based",50,0,null,2,320,80,30,"A","YES",1,2,"Non-sliding","2","NO",4,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","AI: MLP","3 layers of MLP-Mixer","916.7K","86KB","19.68M","72K","9K",0.68540000000000001,0.85940000000000005,0.56989999999999996,0.313]
["OPPO",1,null,"Cluster-based",50,120,40,2,320,80,30,"A","NO",1,3,"Sliding",2,"NO",1,1,"21 cells, L1 beam-level RSRP  ","21 cells, L1 beam-level RSRP  ","AI: LSTM","2LSTM layer+1 dense layer",186,711,0.42,260,62,0.76,0.77,0.76,0.53,0.53,0.53,35.56,4.4999999999999998E-2,1.6E-2,36.090000000000003,4.4999999999999998E-2,1.6E-2]
["OPPO",1,null,"Cluster-based",50,120,40,2,320,200,30,"A","NO",1,3,"Sliding",2,"NO",1,1,"21 cells, L1 beam-level RSRP  ","21 cells, L1 beam-level RSRP  ","AI: LSTM","2LSTM layer+1 dense layer",186,711,0.42,260,62,0.88,0.88,0.87,0.53,0.53,0.53,35.56,4.4999999999999998E-2,1.6E-2,36.090000000000003,4.4999999999999998E-2,1.6E-2]
["OPPO",2,"Option3","Cluster-based",50,120,40,2,320,80,30,"A","NO",1,3,"Sliding",2,"NO",1,1,"21 cells, L3 cell-level RSRP  ","21 cells, L3 cell-level RSRP  ","AI: LSTM","2LSTM layer+1 dense layer",186,711,0.42,260,62,0.67,0.68,0.66,0.69,0.69,0.69,35.56,4.4999999999999998E-2,1.6E-2,41.46,4.3999999999999997E-2,1.7999999999999999E-2]
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