Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory

ZHAO Donglai; WANG Gang; LIU Haoyang; JIA Shaobo

doi:10.11999/JEIT211365

Volume 44 Issue 9

Sep. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(9): 2986-2993

ZHAO Donglai, WANG Gang, LIU Haoyang, JIA Shaobo. Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory[J]. Journal of Electronics & Information Technology, 2022, 44(9): 2986-2993. doi: 10.11999/JEIT211365

Citation:

ZHAO Donglai, WANG Gang, LIU Haoyang, JIA Shaobo. Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory[J]. Journal of Electronics & Information Technology, 2022, 44(9): 2986-2993. doi: 10.11999/JEIT211365

Citation:

ZHAO Donglai, WANG Gang, LIU Haoyang, JIA Shaobo. Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory[J]. Journal of Electronics & Information Technology, 2022, 44(9): 2986-2993. doi: 10.11999/JEIT211365

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Performance Analysis and Optimization of Multi-antenna Dense Heterogeneous Network Based on Stochastic Geometry Theory

doi: 10.11999/JEIT211365

1.
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
2.
School of Information Engineering, Zhengzhou University, Zhengzhou 450000, China

Funds: The National Natural Science Foundation of China (62071146, 61671184)

Received Date: 2021-11-30
Rev Recd Date: 2022-04-03

Available Online: 2022-04-20

Publish Date: 2022-09-19

Abstract

Abstract

The heterogeneous and intensive deployment of wireless network improves greatly the system capacity, which can meet the increasing data traffic demand of users. However, the complex network structure and almost random base station distribution are not conducive to the performance evaluation and parameter design of systems. Considering this problem, a performance analysis framework for multi-antenna dense heterogeneous networks is proposed. Firstly, resorting to stochastic geometry model, the closed-form expression of coverage probability is derived, and the optimization scheme is proposed. In order to observe intuitively the effects of key system parameters on coverage probability, an asymptotic expression is also given. Secondly, the integral expression of Area Spectral Efficiency (ASE) is derived. In order to reduce the computational complexity, an upper bound of ASE is provided. Finally, an effective algorithm is proposed to design the optimal active Base Stations (BSs) densities, maximizing the ASE with appropriate requirements of coverage probability. The simulation results verify the correctness of the theoretical analysis and the effectiveness of the proposed optimization algorithm. The research results of this paper can not only provide theoretical basis for the performance analysis of complex networks, but also provide feasible schemes for the optimization and design of systems.
- Dense heterogeneous network,
- Coverage probability,
- Area Spectral Efficiency (ASE),
- Multi-antenna technology,
- Stochastic geometry

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References(21)

References

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