The Theoretical Analysis based on Effective Capacity in Massive MIMO-NOMA Systems

In this paper, for the delay-sensitive service requirements, an effective capacity model considering the delay QoS exponent is introduced in massive MIMO-NOMA system. We derive the theoretical expression of the effective capacity in the two-user scenario within one cluster for the massive MIMONOMA system, and analyze the impact of the SNR(Signal-toNoise Ratio) and delay QoS(Quality of Service) exponent on the effective capacity. The simulation results show that theoretical analysis results is consistent with the Monte Carlo simulation results within the allowable error range. Secondly, some factors that affect the effective capacity are analyzed, including the influence of the delay QoS exponent and the transmission SNR on the effective capacity. The simulation results verify the correctness of the theoretical analysis, which provide an important theoretical basis for the next research.

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Published
2024-10-18
DOI
https://doi.org/10.1109/iccsn63464.2024.10793327
Primary Topic
Advanced Wireless Communication Technologies
Type
article
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The Theoretical Analysis based on Effective Capacity in Massive MIMO-NOMA Systems

Jun Zhao, Guomei Zhang, Jun Li, Yanmei Cao et al.
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Advanced Wireless Communication Technologies
article

The Theoretical Analysis based on Effective Capacity in Massive MIMO-NOMA Systems

Jun Zhao, Guomei Zhang, Jun Li, Yanmei Cao, Yan Lin, Qi Xuping
article en

Abstract

In this paper, for the delay-sensitive service requirements, an effective capacity model considering the delay QoS exponent is introduced in massive MIMO-NOMA system. We derive the theoretical expression of the effective capacity in the two-user scenario within one cluster for the massive MIMONOMA system, and analyze the impact of the SNR(Signal-toNoise Ratio) and delay QoS(Quality of Service) exponent on the effective capacity. The simulation results show that theoretical analysis results is consistent with the Monte Carlo simulation results within the allowable error range. Secondly, some factors that affect the effective capacity are analyzed, including the influence of the delay QoS exponent and the transmission SNR on the effective capacity. The simulation results verify the correctness of the theoretical analysis, which provide an important theoretical basis for the next research.

Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Advanced Wireless Communication Technologies
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The Theoretical Analysis based on Effective Capacity in Massive MIMO-NOMA Systems — Jun Zhao, Guomei Zhang, et al. · (2024) | TGRS Research Map | TGRS