Multi-agent reinforcement learning-based pilot assignment for cell-free massive MIMO systems
Cell-free massive multiple-input multiple-output (CF-mMIMO) has been considered as one of
the potential technologies for beyond-5G and 6G to meet the demand for higher data …
the potential technologies for beyond-5G and 6G to meet the demand for higher data …
Joint user association and power control for cell-free massive MIMO
This work proposes novel approaches that jointly design user equipment (UE) association
and power control (PC) in a downlink user-centric CELL-FREE massive multiple-input …
and power control (PC) in a downlink user-centric CELL-FREE massive multiple-input …
Survey on Resource Allocation for Future 6G Network Architectures: Cell-Free and Radio Stripe Technologies
Future beyond fifth-generation (B5G) and sixth-generation (6G) communication systems
require a higher quality of service (QoS) along with meeting multiple objectives and traffic …
require a higher quality of service (QoS) along with meeting multiple objectives and traffic …
Multi-Objective Reinforcement Learning for Power Allocation in Massive MIMO Networks: A Solution to Spectral and Energy Trade-Offs
The joint optimization of spectral efficiency (SE) and energy efficiency (EE) through power
allocation (PA) techniques is a critical requirement for emerging fifth-generation and beyond …
allocation (PA) techniques is a critical requirement for emerging fifth-generation and beyond …
Joint Spectral and Power Efficiency Optimization in Uplink Radio Stripes
The radio stripe (RS) concept has been emerging as a practical implementation of the cell-
free (CF) massive multiple-input-multiple-output (MMIMO) network where all access points …
free (CF) massive multiple-input-multiple-output (MMIMO) network where all access points …
Multi-agent based optimal UAV deployment for throughput maximization in 5 G communications
FM Baghnoi, J Jamali, M Taghizadeh, MH Fatehi - Wireless Networks, 2024 - Springer
Unmanned aerial vehicle (UAV)-mounted base station is an emerging technology to provide
controlled wireless communication for ground users. The high mobility of the UAV adds …
controlled wireless communication for ground users. The high mobility of the UAV adds …
Energy-efficient access point clustering and power allocation in cell-free massive MIMO networks: a hierarchical deep reinforcement learning approach
Cell-free massive multiple-input multiple-output (CF-mMIMO) has attracted considerable
attention due to its potential for delivering high data rates and energy efficiency (EE). In this …
attention due to its potential for delivering high data rates and energy efficiency (EE). In this …
Accelerated Deep Reinforcement Learning for Uplink Power Control in a Dynamic Cell-Free Massive MIMO Network
We investigate the deep reinforcement learning (DRL) framework for uplink power control in
a cell-free massive multiple-input, multiple-output (MIMO) network. Although DRL does not …
a cell-free massive multiple-input, multiple-output (MIMO) network. Although DRL does not …
Distributed DRL Based Beamforming Design for RIS-Assisted Multi-Cell Systems
Reconfigurable intelligent surface (RIS) has the potential to significantly enhance the
performance of communication systems by dynamically adjusting wireless environment. In …
performance of communication systems by dynamically adjusting wireless environment. In …
Uncoordinated Transmissions in Uplink IoT Cell-Free Massive MIMO Systems based on NOMA
This paper presents a new framework comprising the combination of uplink cell-free
massive multiple input multiple output (mMIMO) with non-orthogonal multiple access …
massive multiple input multiple output (mMIMO) with non-orthogonal multiple access …