학술논문

Access Point Selection for Spectral Efficiency and Load Balancing Optimization in Radio Stripes
Document Type
Periodical
Source
IEEE Communications Letters IEEE Commun. Lett. Communications Letters, IEEE. 27(9):2383-2387 Sep, 2023
Subject
Communication, Networking and Broadcast Technologies
Genetic algorithms
Antennas
Load management
Linear programming
Central Processing Unit
Signal to noise ratio
Interference
Massive MIMO (mMIMO)
radio stripe (RS)
AP selection (APS)
bi-objective
maximum ratio combining (MRC)
genetic algorithm (GA)
Language
ISSN
1089-7798
1558-2558
2373-7891
Abstract
This work considers the uplink (UL) of a radio stripe (RS) network with two sequential equalization schemes: the optimal sequence linear processing (OSLP) and the sequential maximum ratio combining (MRC). An access point selection (APS) scheme is employed to provide an efficient AP-to-user equipment (UE) association that aims to enhance the network spectral efficiency (SE) and supply a balanced distribution of the APs’ load (load balance). A bi-objective optimization approach is developed to provide these trade-off solutions and is based on a meta-heuristic (MH) known as genetic algorithm (GA). It can be concluded that the bi-objective approach can provide APS solutions where the SE is counterbalanced with the corresponding APs’ load, leading to acceptable solutions in terms of SE with much lower APs’ involvement. Additionally, the APS scheme can be complemented with the low-complexity MRC since it exhibits low SE degradation when compared to the case with OSLP.