Joint Power-control and Antenna Selection in User-Centric Cell-Free Systems with Mixed Resolution ADC
Journal article, 2022

In this paper, we propose a scheme for the joint optimization of the user transmit power and the antenna selection at the access points (AP)s of a user-centric cell-free massive multiple-input-multiple-output (UC CF-mMIMO) system. We derive an approximate expression for the achievable uplink rate of the users in a UC CF-mMIMO system in the presence of a mixed analog-to-digital converter (ADC) resolution profile at the APs. Using the derived approximation, we propose to maximize the uplink sum-rate of UC CF-mMIMO systems subject to energy constraints at the APs. An alternating-optimization solution is proposed using binary particle swarm optimization (BPSO) and successive convex approximation (SCA). We also propose a complete meta-heuristic-based solution that can be used as an alternative solution for applications where latency is the critical metric. Along with this, we used a genetic algorithm (GA)-based approach to compare the performance of the proposed algorithm. We study the impact of various system parameters on the performance of the system.

Energy efficiency

Uplink

Energy resolution

Power demand

Power control

Antennas

Optimization

Author

Shashank Shekhar

IIT Madras

Athira Subhash

IIT Madras

Muralikrishnan Srinivasan

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Sheetal Kalyani

IIT Madras

IEEE Transactions on Communications

00906778 (ISSN) 15580857 (eISSN)

Vol. 70 12 8400-8415

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/TCOMM.2022.3218835

More information

Latest update

3/7/2024 9