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A Novel Performance Bound for Massive MIMO Enabled HetNets

Author

Listed:
  • Hao Li

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Jiawei Cao

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Guangkun Luo

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Zhigang Wang

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Houjun Wang

    (School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

Abstract

Massive multiple-input and multiple-output (MIMO) networks with higher throughput rates, where a base station (BS) with a large-scale antenna array serves multiple users, have been widely employed in next-generation wireless communication test systems. Massive MIMO-enabled dense heterogeneous networks (HetNets) have also emerged as a promising architecture to increase the system spectrum efficiency and improve the system reliability. Massive MIMO-enabled HetNets have been successfully exploited in sustainable Internet of Thing networks (IoTs). In order to facilitate the testing and performance estimation of IoTs communication systems, this paper studies the achievable rate performance of massive MIMO and HetNets. Differing from the existing literature, we first consider an interference power model for massive MIMO-enabled HetNets. We next obtain an expression for the signal-to-interference-plus-noise ratio (SINR) by introducing an interference power. Furthermore, we derive a new closed-form lower bound expression for the achievable rate. The proposed closedform expression shows that the achievable rate is an explicit expression of the number of transmit antennas. In simulation results, the impact of the number of transmit antennas on the achievable rate performance is investigated.

Suggested Citation

  • Hao Li & Jiawei Cao & Guangkun Luo & Zhigang Wang & Houjun Wang, 2023. "A Novel Performance Bound for Massive MIMO Enabled HetNets," Mathematics, MDPI, vol. 11(13), pages 1-11, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:2846-:d:1178781
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    References listed on IDEAS

    as
    1. Reza Aghazadeh Ayoubi & Umberto Spagnolini, 2022. "Performance of Dense Wireless Networks in 5G and beyond Using Stochastic Geometry," Mathematics, MDPI, vol. 10(7), pages 1-30, April.
    2. Qiushi Sun & Haitao Wu & Ovanes Petrosian, 2022. "Optimal Power Allocation Based on Metaheuristic Algorithms in Wireless Network," Mathematics, MDPI, vol. 10(18), pages 1-14, September.
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