面向mMTC的5G网络多随机接入机制性能优化策略

doi:10.11959/j.issn.2096-3750.2022.00267

物联网学报 ›› 2022, Vol. 6 ›› Issue (2): 95-105.doi: 10.11959/j.issn.2096-3750.2022.00267

面向mMTC的5G网络多随机接入机制性能优化策略

詹文¹, 梁译文¹, 孙兴华¹, 谭雪松²

¹ 中山大学·深圳电子与通信工程学院，广东深圳 518107
² 电子科技大学通信抗干扰技术国家级重点实验室，四川成都 611731

修回日期:2022-04-05 出版日期:2022-06-30 发布日期:2022-06-01
作者简介:詹文（1990− ），男，博士，中山大学电子与通信工程学院助理教授，主要研究方向为5G/6G网络和大规模物联网通信
梁译文（1996− ），男，中山大学电子与通信工程学院硕士生，主要研究方向为5G网络大规模机器类通信的随机接入
孙兴华（1985− ），男，博士，中山大学电子与通信工程学院副教授，主要研究方向为下一代无线通信网络、智能通信等
谭雪松（1976− ），男，博士，电子科技大学通信抗干扰技术国家级重点实验室教授，主要研究方向包括认知无线网络、抗干扰盲汇聚通信和网络编码在通信中的应用等
基金资助:
国家自然科学基金资助项目(62001524);广东省重点领域研发计划(2020B0101120003);广东省基础与应用基础研究基金资助项目(2019A1515011906);深圳市高等院校稳定支持计划项目(2021A04);深圳市科技计划资助(RCBS20210706092408010)

Performance optimization for mMTC in 5G network with multiple random access schemes

Wen ZHAN¹, Yiwen LIANG¹, Xinghua SUN¹, Xuesong TAN²

¹ School of Electronics and Communication Engineering, Sun Yat-sen University (Shenzhen), Shenzhen 518107, China
² National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China

Revised:2022-04-05 Online:2022-06-30 Published:2022-06-01
Supported by:
The National Natural Science Foundation of China(62001524);The Key-Area Research and Development Program of Guangdong Province(2020B0101120003);The Guangdong Basic and Applied Basic Research Foundation(2019A1515011906);The Shenzhen Sustainable Support Program for Universities(2021A04);The Shenzhen Science and Technology Program(RCBS20210706092408010)

摘要/Abstract

摘要：

为优化对具有不同流量特征的海量机器类通信（mMTC, massive machine type communication）业务的支持，5G网络将并存两种随机接入机制：基于报文的随机接入（PBRA, packet-based random access）机制和基于连接的随机接入（CBRA, connection-based random access）机制。然而，面向mMTC业务流量特征的随机接入机制选择问题，却尚未得到解决。为此，本文将分析PBRA机制和CBRA机制下的网络吞吐量和信令开销，解决在信令开销受限的条件下，吞吐量最大化的优化问题。以此为基础，得到了最优随机接入机制选择策略和相应的网络参数配置方案，并通过仿真进行验证。

关键词: mMTC, 基于报文的随机接入, 基于连接的随机接入, 随机接入机制选择

Abstract:

To optimize the support for massive machine type communication (mMTC) services with different traffic characteristics, packet-based random access (PBRA) scheme coexists with the connection-based random access (CBRA) scheme in 5G networks.Yet, given the traffic characteristic of mMTC, which random access scheme should be chosen is still an open issue.To address this issue, the network throughput and signaling overhead analysis of mMTC with PBRA and CBRA were presented, and the problem of throughput maximization while maintaining the signaling-to-throughput ratio below a certain level was solved.Based on this, the optimal access scheme selection strategy and the corresponding optimal network parameter configuration were obtained and verified via simulations.

Key words: mMTC, packet-based random access, connection-based random access, random access scheme selection

中图分类号:

TN929.5

詹文, 梁译文, 孙兴华, 谭雪松. 面向mMTC的5G网络多随机接入机制性能优化策略[J]. 物联网学报, 2022, 6(2): 95-105.

Wen ZHAN, Yiwen LIANG, Xinghua SUN, Xuesong TAN. Performance optimization for mMTC in 5G network with multiple random access schemes[J]. Chinese Journal on Internet of Things, 2022, 6(2): 95-105.

图/表 10

图1

图2

表1

PBRA中的最大吞吐量以及最优的ACB因子"

区域	{n,λ}	{β,L}	q^*	${\hat{γ}}_{max}$
S₁		$\frac{4 s \exp (- W_{0} (- \hat{λ})) - s}{L} \leq β$	$[\frac{\hat{λ}}{n p_{L}}, - \frac{1}{n} \ln p_{S}]$	$L \hat{λ}$
	$n λ < e^{- 1}$
S₂		$\frac{4 s \exp (- W_{0} (- \hat{λ})) - s}{L} > β$	无解	无解
S₃		$\frac{(4 e - 1) s}{L} \leq β$	$\frac{1}{n}$	$L e^{- 1}$
S₄	$n λ \geq e^{- 1}$	$\frac{3 s}{L} < β < \frac{(4 e - 1) s}{L}$	$\frac{1}{n} \ln \frac{β L + s}{4 s}$	$\frac{4 L s}{β L + s} \ln \frac{β L + s}{4 s}$
S₅		$0 < β \leq \frac{3 s}{L}$	无解	无解

表1

图3

图4

图5

图6

图7

表2

基于参数{n,λ,D,β,L}的随机接入机制选择与参数配置方案"

{n,λ,D}	{β,L}	q^*	${\hat{γ}}_{max}$	选择方案
$0 < n λ < \frac{1}{e}$	$\frac{4 s \exp (- W_{0} (- \hat{λ})) - s}{L} \leq β$	$[\frac{\hat{λ}}{n p_{L}}, - \frac{1}{n} \ln p_{S}]$	$L \hat{λ}$	PBRA方案
	$\frac{4 s \exp (- W_{0} (- \hat{λ})) - s}{L} > β$	无解	无解
$\frac{1}{e} \leq n λ < D$	$\frac{4 s n ρ q^{*} (1 - p_{L}) + 5 s {\hat{λ}}_{\max}^{a}}{L \hat{λ}} \leq β$	$q^{*} = \frac{\hat{λ} (D - e^{- 1})}{n D (\hat{λ} - e^{- 1})}$	$L \hat{λ}$	CBRA方案
	$\frac{4 s n ρ q^{*} (1 - p_{L}) + 5 s {\hat{λ}}_{\max}^{a}}{L \hat{λ}} > β$	无解	无解
	$\frac{(4 e - 1) s}{L} \frac{1}{e} \leq β$	$\frac{1}{n}$	$L e^{- 1}$	PBRA方案
D≤nλ	$\frac{3 s}{L} < β < \frac{(4 e - 1) s}{L}$	$\frac{1}{n} \ln \frac{β L + s}{4 s}$	$\frac{4 L s}{β L + s} \ln \frac{β L + s}{4 s}$
	$0 < β \leq \frac{3 s}{L}$	无解	无解

表2

图8

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面向mMTC的5G网络多随机接入机制性能优化策略

Performance optimization for mMTC in 5G network with multiple random access schemes

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