Learning beamforming for RIS-aided systems with permutation equivariant graph neural networks
B Zhao, C Yang - 2023 IEEE 97th Vehicular Technology …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is capable of controlling environment smartly for
improving the performance of wireless communications. To reduce the pilot overhead of …
improving the performance of wireless communications. To reduce the pilot overhead of …
Hierarchical radio resource optimization for heterogeneous networks with enhanced inter-cell interference coordination (eICIC)
Interference is a major performance bottleneck in Heterogeneous Network (HetNet) due to
its multi-tier structure. We propose almost blank resource block (ABRB) for interference …
its multi-tier structure. We propose almost blank resource block (ABRB) for interference …
User-centric cross-tier base station clustering and cooperation in heterogeneous networks: Rate improvement and energy saving
Heterogeneous cellular networks (HetNets) are to be deployed for future wireless
communication to meet the ever-increasing mobile traffic demand. However, the dense and …
communication to meet the ever-increasing mobile traffic demand. However, the dense and …
Optimization-driven hierarchical deep reinforcement learning for hybrid relaying communications
In this paper, we employ multiple wireless-powered user devices as wireless relays to assist
information transmission from a multi-antenna access point to a single-antenna receiver. To …
information transmission from a multi-antenna access point to a single-antenna receiver. To …
Distributed energy-efficient inter-cell interference coordination (ICIC) in multi-cell hetnets
We present a distributed energy-efficient Inter-Cell Interference Coordination (ICIC) scheme
for multi-cell HetNets (Heterogeneous Networks) in the downlink. This novel scheme aims to …
for multi-cell HetNets (Heterogeneous Networks) in the downlink. This novel scheme aims to …
Reinforcement learning based dynamic energy-saving algorithm for three-tier heterogeneous networks
H Sun, T Lv, X Zhang, Z Liu - 2019 IEEE 30th Annual …, 2019 - ieeexplore.ieee.org
To cope with the rapidly growing demand for data traffic, heterogeneous network (HetNet),
including different types of base stations (BSs), is advocated as a promising network …
including different types of base stations (BSs), is advocated as a promising network …
Hybrid Multi-Agent Deep Reinforcement Learning for Active-IRS-Based Rate Maximization Over 6G UAV Mobile Wireless Networks
S Yi, F Wang, X Zhang - MILCOM 2023-2023 IEEE Military …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) can significantly improve unmanned aerial vehicle (UAV)
communication qualities by reconfiguring or even optimizing wireless propagation …
communication qualities by reconfiguring or even optimizing wireless propagation …
[HTML][HTML] Intelligent Dynamic Power Control with Cell Range Expansion for Small-Cells in 5G HetNets
I Ban, SJ Kim - Applied Sciences, 2024 - mdpi.com
In 5G heterogeneous networks (HetNets), small-cell base stations (SBSs) are deployed in
the coverage of macro base stations (MBSs) to improve the system performance. However …
the coverage of macro base stations (MBSs) to improve the system performance. However …
Multi-channel opportunistic access for heterogeneous networks based on deep reinforcement learning
This paper investigates a new medium access control (MAC) protocol for multi-channel
heterogeneous networks (HetNets) based on deep reinforcement learning (DRL), referred to …
heterogeneous networks (HetNets) based on deep reinforcement learning (DRL), referred to …
Hybrid MRT and ZF Learning for Energy-Efficient Transmission in Multi-RIS-Assisted Networks
The deep reinforcement learning-based transmission design for reconfigurable intelligent
surface (RIS) assisted multiple input single output networks is investigated in this research …
surface (RIS) assisted multiple input single output networks is investigated in this research …