Deep reinforcement learning for distributed dynamic MISO downlink-beamforming coordination

J Ge, YC Liang, J Joung, S Sun - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We consider a homogeneous cellular network where a multi-antenna base station (BS) in
each cell transmits messages to its intended user over a common frequency band. To …

Multi-IRS-assisted multi-cell uplink MIMO communications under imperfect CSI: A deep reinforcement learning approach

J Kim, S Hosseinalipour, T Kim… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Applications of intelligent reflecting surfaces (IRSs) in wireless networks have attracted
significant attention recently. Most of the relevant literature is focused on the single cell …

Learning based frequency-and time-domain inter-cell interference coordination in HetNets

M Simsek, M Bennis, I Güvenç - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we focus on inter-cell interference coordination (ICIC) techniques in
heterogeneous network (HetNet) deployments, whereby macro-and picocells autonomously …

Multi-cell interference exploitation: Enhancing the power efficiency in cell coordination

Z Wei, C Masouros, KK Wong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a series of novel coordination schemes for multi-cell downlink
communication. Starting from full base station (BS) coordination, we first propose a fully …

Dynamic channel access and power control in wireless interference networks via multi-agent deep reinforcement learning

Z Lu, C Zhong, MC Gursoy - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Due to the scarcity in the wireless spectrum and limited energy resources especially in
mobile applications, efficient resource allocation strategies are critical in wireless networks …

A deep learning framework for optimization of MISO downlink beamforming

W Xia, G Zheng, Y Zhu, J Zhang, J Wang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Beamforming is an effective means to improve the quality of the received signals in multiuser
multiple-input-single-output (MISO) systems. Traditionally, finding the optimal beamforming …

Dynamic inter-cell interference coordination in HetNets: A reinforcement learning approach

M Simsek, M Bennis, A Czylwik - 2012 IEEE Global …, 2012 - ieeexplore.ieee.org
In this paper, we investigate enhanced Inter-Cell Interference Coordination (e-ICIC)
techniques for Heterogeneous Networks (HetNets), consisting of a mix of macro and …

Cooperative interference management with MISO beamforming

R Zhang, S Cui - IEEE Transactions on Signal Processing, 2010 - ieeexplore.ieee.org
In this correspondence, we study the downlink transmission in a multi-cell system, where
multiple base stations (BSs) each with multiple antennas cooperatively design their …

Low-complexity coordinated beamforming for downlink multicell SDMA/OFDM systems

T Zhou, M Peng, W Wang… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Coordinated beamforming (CBF) or coordinated scheduling is regarded as an effective
means of mitigating the intercell interference (ICI) in orthogonal frequency-division …

Joint user association and resource allocation in the downlink of heterogeneous networks

Y Chen, J Li, W Chen, Z Lin… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we consider the intercell interference coordination (ICIC) problem in
heterogeneous cellular networks with randomly deployed small-cell base stations (BSs) …