Applications of multi-agent reinforcement learning in future internet: A comprehensive survey

T Li, K Zhu, NC Luong, D Niyato, Q Wu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …

Interference management issues for the future 5G network: a review

F Qamar, MHDN Hindia, K Dimyati, KA Noordin… - Telecommunication …, 2019 - Springer
Abstract The future wireless Fifth Generation (5G) communication network required a higher
bandwidth in order to achieve greater data rate. It will be largely characterized by small cell …

Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks

YS Nasir, D Guo - IEEE Journal on selected areas in …, 2019 - ieeexplore.ieee.org
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …

Fractional programming for communication systems—Part II: Uplink scheduling via matching

K Shen, W Yu - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
This two-part paper develops novel methodologies for using fractional programming (FP)
techniques to design and optimize communication systems. Part I of this paper proposes a …

Power allocation in multi-user cellular networks: Deep reinforcement learning approaches

F Meng, P Chen, L Wu, J Cheng - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The model-based power allocation has been investigated for decades, but this approach
requires mathematical models to be analytically tractable and it has high computational …

MIMO OFDM dual-function radar-communication under error rate and beampattern constraints

J Johnston, L Venturino, E Grossi… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this work we consider a multiple-input multiple-output (MIMO) dual-function radar-
communication (DFRC) system, which senses multiple spatial directions and serves multiple …

Energy-efficient resource allocation in multi-cell OFDMA systems with limited backhaul capacity

DWK Ng, ES Lo, R Schober - IEEE Transactions on Wireless …, 2012 - ieeexplore.ieee.org
We study resource allocation for energy-efficient communication in multi-cell orthogonal
frequency division multiple access (OFDMA) downlink networks with cooperative base …

Energy-efficient scheduling and power allocation in downlink OFDMA networks with base station coordination

L Venturino, A Zappone, C Risi… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper addresses the problem of energy-efficient resource allocation in the downlink of
a cellular orthogonal frequency division multiple access system. Three definitions of energy …

Coordinated multipoint transmission with limited backhaul data transfer

J Zhao, TQS Quek, Z Lei - IEEE Transactions on Wireless …, 2013 - ieeexplore.ieee.org
When the joint processing technique is applied in the coordinated multipoint (CoMP)
downlink transmission, the user data for each mobile station needs to be shared among …

Optimal power allocation and user scheduling in multicell networks: Base station cooperation using a game-theoretic approach

J Zheng, Y Cai, Y Liu, Y Xu, B Duan… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper proposes a novel base station (BS) coordination approach for intercell
interference mitigation in the orthogonal frequency-division multiple access based cellular …