학술논문

User Fairness in Radio Stripes Networks using Meta-Heuristics optimization
Document Type
Conference
Source
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) Vehicular Technology Conference (VTC2022-Spring), 2022 IEEE 95th. :1-6 Jun, 2022
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Vehicular and wireless technologies
Time-frequency analysis
Spectral efficiency
Metaheuristics
Simulated annealing
Minimax techniques
Resource management
Massive MIMO
Cell-Free
Radio Stripe
Power optimization
Max-Min Fairness
Meta-Heuristics
Language
ISSN
2577-2465
Abstract
One of the most promising practical implementations of the cell-free massive MIMO network is based on the radio stripe system, which considers that the access points are sequentially connected, sharing the same fronthaul link while serving all user equipment using the same time-frequency resources. This paper considers an uplink power allocation technique that aims to enhance the network spectral efficiency (SE), modelled as an optimization constrained problem explicitly considering the max-min fairness case. Instead of relying on exact globally optimal approaches, with high computational complexity, three different alternative meta-heuristic (MH) based on simulated annealing, differential evolution and particle swarm optimization approaches are explored. The SE performances along with the total run times of the MH approaches are analyzed and compared with the bisection method.