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  • Open Access

    ARTICLE

    Evolutionary Particle Swarm Optimization Algorithm Based on Collective Prediction for Deployment of Base Stations

    Jiaying Shen1, Donglin Zhu1, Yujia Liu2, Leyi Wang1, Jialing Hu1, Zhaolong Ouyang1, Changjun Zhou1, Taiyong Li3,*

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 345-369, 2025, DOI:10.32604/cmc.2024.060335 - 03 January 2025

    Abstract The wireless signals emitted by base stations serve as a vital link connecting people in today’s society and have been occupying an increasingly important role in real life. The development of the Internet of Things (IoT) relies on the support of base stations, which provide a solid foundation for achieving a more intelligent way of living. In a specific area, achieving higher signal coverage with fewer base stations has become an urgent problem. Therefore, this article focuses on the effective coverage area of base station signals and proposes a novel Evolutionary Particle Swarm Optimization (EPSO)… More >

  • Open Access

    ARTICLE

    Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems

    Rao Muhammad Asif1, Mustafa Shakir1, Jamel Nebhen2, Ateeq Ur Rehman3, Muhammad Shafiq4,*, Jin-Ghoo Choi4

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5889-5905, 2022, DOI:10.32604/cmc.2022.020777 - 11 October 2021

    Abstract 5G technology can greatly improve spectral efficiency (SE) and throughput of wireless communications. In this regard, multiple input multiple output (MIMO) technology has become the most influential technology using huge antennas and user equipment (UE). However, the use of MIMO in 5G wireless technology will increase circuit power consumption and reduce energy efficiency (EE). In this regard, this article proposes an optimal solution for weighing SE and throughput tradeoff with energy efficiency. The research work is based on the Wyner model of uplink (UL) and downlink (DL) transmission under the multi-cell model scenario. The SE-EE… More >

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