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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    User Fairness in Radio Stripes Networks using Meta-Heuristics optimization


    Contributors:


    Publication date :

    2022-06-01


    Size :

    516797 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Beamforming Optimization for Multiuser Wireless Systems Using Meta-Heuristics

    Bento, Pedro / Antunes, Carlos Henggeler / Gomes, Marco et al. | IEEE | 2016


    UAV-Enabled Cell-Free Networks: Joint Optimization for User Fairness

    Ding, Zhaoyang / Sun, Xiaofang / Jiang, Ruihong et al. | IEEE | 2023


    Underwater Robot Task Planning Using Multi-Objective Meta-Heuristics

    Landa-Torres, I. / Manjarres, D. / Bilbao, S. et al. | BASE | 2017

    Free access


    Application of Meta-Heuristics to a Nesting Problem

    Takahara, S. / Miyamoto, S. | British Library Online Contents | 1997