Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems

Rui WANG; Min SHEN; Yun HE; Xiangyan LIU

doi:10.11959/j.issn.1000-436x.2021234

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Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems

Papers | 更新时间：2024-06-05

- Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems
- Journal on Communications Vol. 42, Issue 12, Pages: 134-143(2021)
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 玉溪师范学院物理与电子工程学院，云南玉溪 653100
- 作者简介：
- 基金信息：
  
  The National Science and Technology Major Project of China(2018ZX03001026-002);The Joint Special Fund Project for Basic Research of Local Undergraduate Universities （part of） in Yunnan Province(2018FH001-120);Chongqing University of Posts and Telecommunications Ph.D.Innovative Talents Project(BYJS202102)
- DOI：10.11959/j.issn.1000-436x.2021234
  CLC： TN92
- Online First：2021-12，
  
  Published：25 December 2021
- 稿件说明：
移动端阅览
Rui WANG, Min SHEN, Yun HE, et al. Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems[J]. Journal on Communications, 2021, 42(12): 134-143.
DOI：

Rui WANG, Min SHEN, Yun HE, et al. Research on caching strategy based on transmission delay in Cell-Free massive MIMO systems[J]. Journal on Communications, 2021, 42(12): 134-143. DOI： 10.11959/j.issn.1000-436x.2021234.

摘要

为了满足未来移动互联网中用户的超低时延和超高可靠需求，将无线缓存技术与无小区大规模多输入多输出系统相结合，设计了基于AP间协作缓存及区域流行度评估的缓存模型。推导出涉及AP分簇、协作缓存以及区域流行度的传输时延表达式，并将内容放置问题表述为最小化总内容传输时延问题。通过对优化问题的NP-hard 和拟阵约束下次模单调性的证明，提出了基于贪婪算法的缓存部署优化策略。仿真结果表明，所提策略可有效降低系统内容传输时延和提升缓存命中率。

Abstract

To meet the ultra-low latency and ultra-high reliability requirements of users in the future mobile Internet， the wireless caching technology was combined with Cell-Free massive MIMO systems.The caching model was designed based on AP cooperative caching and regional popularity evaluation.The transmission delay expression involving AP clustering， cooperative caching， and regional popularity was derived， and the content placement problem was expressed as total content transmission delay minimization.Through the demonstration of the NP-hard and submodular monotony of the optimization problem， the greedy algorithm-based optimization strategy was proposed.Simulation results show that the proposed strategy can effectively reduce the content transmission delay and improve the cache hit rate.

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references

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