Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems

Haiyan CAO; Wenjuan HU; Yingjuan ZHI; Fangmin XU; Xin FANG

doi:10.11959/j.issn.1000-0801.2020167

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Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems

Research and Development | 更新时间：2024-06-05

- Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems
- Telecommunications Science Vol. 36, Issue 6, Pages: 90-96(2020)
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- DOI：10.11959/j.issn.1000-0801.2020167
  CLC： TN929.53
- Published Online：2020-06，
  
  Published：20 June 2020
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Haiyan CAO, Wenjuan HU, Yingjuan ZHI, et al. Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems[J]. Telecommunications science, 2020, 36(6): 90-96.
DOI：

Haiyan CAO, Wenjuan HU, Yingjuan ZHI, et al. Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems[J]. Telecommunications science, 2020, 36(6): 90-96. DOI： 10.11959/j.issn.1000-0801.2020167.

摘要

针对配置低精度模数转换器（ADC）的大规模多输入多输出（MIMO）系统，提出一种基于交替优化算法的上行链路能效优化算法。即在基于最大比合并（MRC）接收的基础上，建立以能效最大化为目标的优化模型，再根据分数规划的性质，把原始的分式形式最优化问题转换成等价的减式形式，在量化比特数一定的情况下，对发射功率和导频长度进行交替迭代优化。仿真结果表明，所提算法有较好的频谱效率与能量效率。

Abstract

An uplink energy efficiency optimization algorithm based on alternating optimization algorithm was proposed for large-scale multiple-input multiple-output (MIMO) systems with low-precision analog to digital converters (ADC).That is

based on the maximum ratio combining (MRC) reception

an optimization model aiming at maximizing energy efficiency was established

and then the original fractional form optimization problem was converted into an equivalent subtractive form according to the nature of the fractional programming.In the case where the number of quantization bits was constant

the iterative optimization of the transmission power and the pilot length were performed.Simulation results show that the proposed algorithm has better spectral efficiency and energy efficiency.

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references

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