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Advanced plans for 5G

July 6, 2021

The past few days (June 28 – July 2, 2021) have seen the first internal 3GPP workshop on the radio specific content of Release 18, reviewing over 500 company and partner organization’s presentations, to identify topics for the immediate and longer-term commercial needs for*:

  • eMBB (evolved Mobile BroadBand);
  • Non-eMBB evolution;
  • Cross-functionalities for both eMBB and non-eMBB driven evolution.

The workshop is the start of a process that will be completed at the December Plenaries, with cross-group Rel-18 Package Approval (note: WG RAN4 - Radio Performance and Protocol Aspects - package approval is set to follow, in March 2022).

The time duration for the release in RAN is tentatively set at 18 months, with the final decision on that to be confirmed in September 2021, following TSG RAN#93-e.

Recent News

IMT-2020 towards 'Beyond'

Interview with Sergio Buonomo, Chief, ITU-R Study Groups Department (Article first published in HIGHLIGHTS Issue 02, March 2021).

The ITU-R has recently published their Recommendation ITU-R M.2150 entitled: 'Detailed specifications of the radio interfaces of IMT-2020', listing the specifications that conform with its requirements for 5G operation.

We invited Sergio Buonomo to answer a few questions, intended to help the 3GPP readership to better understand how our own specifications for 5G are connected to the ITU’s IMT-2020 process.

Highlights: Could you sum up the significance of the IMT process and what it means to conform to it?

SB: The ITU-R is responsible for the Radio Regulations, with the latest set being the 2020 version, which is the essential regulatory document for the service allocation of the frequency bands (8.3 kHz - 275 GHz Range). They define the spectrum allocation for all radiocommunication services in the three ITU-R Regions, including the allocation for the mobile service. Also, there are important “footnotes” in there; defining the identification of IMT in frequency bands for specific countries.


Artificial Intelligence and Machine Learning

By Gino Masini, Yin Gao, Sasha Sirotkin (Article first published in HIGHLIGHTS Issue 02, March 2021).

Title: Artificial Intelligence and Machine Learning in NG-RAN: New Study in RAN3.

5G brings more stringent requirements for Key Performance Indicators (KPIs) like latency, reliability, user experience, and others; jointly optimizing those KPIs is becoming more challenging due to the increased complexity of foreseen deployments. Operators and vendors are now turning their attention to Artificial Intelligence and Machine Learning (AI/ML) to address this challenge. For this reason, following RAN plenary approval, 3GPP RAN3 has recently started a new Release-17 study on the applications of AI/ML to RAN.


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