Fair Coexistence in Unlicensed Band for Next Generation Multiple Access: The Art of Learning-Reference-Cited by-同舟云学术

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Fair Coexistence in Unlicensed Band for Next Generation Multiple Access: The Art of Learning

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Xu Haowei¹,Sun Xinghua¹,Yang Howard H.²,Guo Ziyang³,Liu Peng³,Quek Tony Q. S.⁴

Affiliation:

1. Sun Yat-sen University,School of Electronics and Communication Engineering

2. Zhejiang University,Zhejiang University/University of Illinois at Urbana-Champaign Institute

3. Huawei Technologies Co., Ltd.

4. Singapore University of Technology and Design,Information System Technology and Design Pillar

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838618.pdf?arnumber=9838618

Reference17 articles.

1. Efficient LTE/Wi-Fi Coexistence in Unlicensed Spectrum Using Virtual Network Entity: Optimization and Performance Analysis

2. Coexistence of WiFi and LTE in unlicensed bands: A proportional fair allocation scheme

3. Enabling Fair Spectrum Sharing between Wi-Fi and LTE-Unlicensed

4. Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks

5. Carrier-Sense Multiple Access for Heterogeneous Wireless Networks Using Deep Reinforcement Learning

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2. Joint Cooperation Clustering and Downlink Power Control for Cell-Free Massive MIMO with Deep Reinforcement Learning;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

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