Reinforcement-Learning Based Radio Resources Allocation in Licensed Assisted Access

Chiapin Wang, Yu Chia Liu, Han Chi Gao, Tsung Yi Fan Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the next-generation heterogeneous networks, 5G New Radio (NR) base stations will contend with Wi-Fi access points for the use of unlicensed frequency bands to increase the transmission rate. In 3GPP Licensed Assisted Access (LAA) standards, the technology called Listen Before Talk (LBT) is introduced for the coexistence of NR base stations and Wi-Fi access points. However, the contention for unlicensed bands between LAA and Wi-Fi is rather unfair; throughput with LBT used in LAA is much higher than that with Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) used in Wi-Fi. Since the performance of Wi-Fi when coexisting with LAA mainly relies on how the LBT parameters are configured by the LAA, we propose in this paper a radio resources allocation scheme which adjusts the Transmission Opportunity (TXOP) duration of LAA based on reinforcement learning to improve the fairness between LAA and Wi-Fi. The simulation results illustrate that the proposed scheme effectively improves the fairness between LAA and Wi-Fi in terms of throughput.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Smart Cloud, SmartCloud 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-174
Number of pages6
ISBN (Electronic)9781728165479
DOIs
Publication statusPublished - 2020 Nov
Event5th IEEE International Conference on Smart Cloud, SmartCloud 2020 - Washington, United States
Duration: 2020 Nov 62020 Nov 8

Publication series

NameProceedings - 2020 IEEE International Conference on Smart Cloud, SmartCloud 2020

Conference

Conference5th IEEE International Conference on Smart Cloud, SmartCloud 2020
Country/TerritoryUnited States
CityWashington
Period2020/11/062020/11/08

Keywords

  • Heterogeneous networks
  • Licensed Assisted Access (LAA)
  • Q-Learning
  • Reinforcement learning
  • Unlicensed band

ASJC Scopus subject areas

  • Management Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management

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