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

Abstract

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

CLC Number:

TN929.5

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.

Figures/Tables 10

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

{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

References 26

[1]	MISIC V B , MISIC J . Machine-to-machine communications[M]. CRC Boca Raton: Press, 2014.
[2]	SUMMARYE . Cisco visual networking index:global mobile data traffic forecast update,2010-2015[J]. Growth Lakeland, 2011,20(4): 2010-2015.
[3]	3GPP. Evolved universal terrestrial radio access (E-UTRA); medium access control (MAC) protocol specification:TS 36.321 V12.5.0[S]. 2015.
[4]	LAYA A , ALONSO L , ALONSO-ZARATE J , . Is the random access channel of LTE and LTE-A suitable for M2M communications? A survey of alternatives[J]. IEEE Communications Surveys ＆ Tutorials, 2014,16(1): 4-16.
[5]	KAHN C , VISWANATHAN H . Connectionless access for mobile cellular networks[J]. IEEE Communications Magazine, 2015,53(9): 26-31.
[6]	HOGLUND A , VAN D P , TIRRONEN T ,et al. 3GPP release 15 early data transmission[J]. IEEE Communications Standards Magazine, 2018,2(2): 90-96.
[7]	RYOO S , JUNG J , AHN R . Energy efficiency enhancement with RRC connection control for 5G new RAT[C]// Proceedings of 2018 IEEE Wireless Communications and Networking Conference. Piscataway:IEEE Press, 2018: 1-6.
[8]	HAILU S , SAILY M , TIRKKONEN O . RRC state handling for 5G[J]. IEEE Communications Magazine, 2019,57(1): 106-113.
[9]	KHLASS A , LASELVA D , JARVELA R . On the flexible and performance-enhanced radio resource control for 5G NR networks[C]// Proceedings of 2019 IEEE 90th Vehicular Technology Conference. Piscataway:IEEE Press, 2019: 1-6.
[10]	FERGUSON M . On the control,stability,and waiting time in a slotted ALOHA random-access system[J]. IEEE Transactions on Communications, 1975,23(11): 1306-1311.
[11]	WU H S , ZHU C X , LA R J ,et al. FASA:accelerated S-ALOHA using access history for event-driven M2M communications[J]. IEEE/ACM Transactions on Networking, 2013,21(6): 1904-1917.
[12]	DI C , ZHANG B , LIANG Q L ,et al. Learning automata-based access class barring scheme for massive random access in machine-to-machine communications[J]. IEEE Internet of Things Journal, 2019,6(4): 6007-6017.
[13]	LIEN S Y , LIAU T H , KAO C Y ,et al. Cooperative access class barring for machine-to-machine communications[J]. IEEE Transactions on Wireless Communications, 2012,11(1): 27-32.
[14]	WANG Z H , WONG V W S . Optimal access class barring for stationary machine type communication devices with timing advance information[J]. IEEE Transactions on Wireless Communications, 2015,14(10): 5374-5387.
[15]	DUAN S Y , SHAH-MANSOURI V , WANG Z H ,et al. D-ACB:adaptive congestion control algorithm for bursty M2M traffic in LTE networks[J]. IEEE Transactions on Vehicular Technology, 2016,65(12): 9847-9861.
[16]	OH C Y , HWANG D , LEE T J . Joint access control and resource allocation for concurrent and massive access of M2M devices[J]. IEEE Transactions on Wireless Communications, 2015,14(8): 4182-4192.
[17]	ZHAN W , DAI L . Access delay optimization of M2M communications in LTE networks[J]. IEEE Wireless Communications Letters, 2019,8(6): 1675-1678.
[18]	ZHAN W , DAI L . Massive random access of machine-to-machine communications in LTE networks:modeling and throughput optimization[J]. IEEE Transactions on Wireless Communications, 2018,17(4): 2771-2785.
[19]	WAN T , SHEIKH A U . Performance and stability analysis of buffered slotted ALOHA protocols using tagged user approach[J]. IEEE Transactions on Vehicular Technology, 2000,49(2): 582-593.
[20]	DAI L . Stability and delay analysis of buffered aloha networks[J]. IEEE Transactions on Wireless Communications, 2012,11(8): 2707-2719.
[21]	ZHAN W , XU C , SUN X H ,et al. Toward optimal connection management for massive machine-type communications in 5G system[J]. IEEE Internet of Things Journal, 2021,8(17): 13237-13250.
[22]	朱振宇, 朱晓荣, 蔡艳 ,等. 基于时隙 ALOHA 与自适应接入类禁止混合的大规模终端接入算法[J]. 物联网学报, 2021,5(1): 90-98.
	ZHU Z Y , ZHU X R , CAI Y ,et al. Large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring[J]. Chinese Journal on Internet of Things, 2021,5(1): 90-98.
[23]	3GPP. 5G;NR;Radio resource control (RRC);Protocol specification:TS 38.331 V16.6.0[S]. 2021.
[24]	ZHAN W , DAI L . Massive random access of machine-to-machine communications in LTE networks:throughput optimization with a finite data transmission rate[J]. IEEE Transactions on Wireless Communications, 2019,18(12): 5749-5763.
[25]	田乃硕, 徐秀丽, 马占友 . 离散时间排队论[M]. 北京: 科学出版社, 2008.
	TIAN N S , XU X L , MA Z Y . Discrete time queuing theory[M]. Beijing: Science Press, 2008.
[26]	LIANG Y W , ZHAN W , SUN X H ,et al. Signaling overhead-constrained throughput optimization for 5G packet-based random access with mMTC[C]// Proceedings of 2021 IEEE Global Communications Conference. Piscataway:IEEE Press, 2021: 1-6.

Metrics

Recommended 0

No Suggested Reading articles found!

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

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 26

Related Articles 15

Metrics

Recommended 0

[1]	Qingyang LI, Xueting LI, Xiaorong ZHU. A joint optimization method of multi backhaul link selection and power allocation in 6G [J]. Chinese Journal on Internet of Things, 2023, 7(2): 67-75.
[2]	Bin SHEN, Yinbo LI, Xiaowei LIANG. Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization [J]. Chinese Journal on Internet of Things, 2023, 7(1): 93-108.
[3]	Bin HE, Guobing LI, Yuan CHEN, Guomei ZHANG. Graph signal processing based pilot pattern design and channel estimation for OFDM system [J]. Chinese Journal on Internet of Things, 2022, 6(3): 91-102.
[4]	Jun SUN, Shangweikang ZHAO. Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things [J]. Chinese Journal on Internet of Things, 2022, 6(3): 82-90.
[5]	Jiujiu CHEN, Caili GUO, Chunyan FENG, Chuanhong LIU. Resource allocation for the semantic communication in the intelligent networked environment [J]. Chinese Journal on Internet of Things, 2022, 6(3): 47-57.
[6]	Qianwen LI, Jianfeng CHEN, Miao CUI, Guangchi ZHANG. Trajectory and communication scheduling optimization for the rechargeable UAV aided data collection system [J]. Chinese Journal on Internet of Things, 2022, 6(3): 113-123.
[7]	Shaoxiong JING, Yue YUAN, Jiawei XIONG, Junxuan WANG. An access scheme based on the random access occasion dynamic allocation [J]. Chinese Journal on Internet of Things, 2022, 6(2): 88-94.
[8]	Shanhu HUANG, Jun SUN, Haofei CHANG, Wenjun LV, Qin YANG. Measurement and modeling of indoor off-body channel in the 9.5～10.5 GHz band [J]. Chinese Journal on Internet of Things, 2022, 6(2): 117-126.
[9]	Qin YANG, Lihua YANG, Lulu REN, Shanhu HUANG, Jiahuan LIU. Measurement and modeling of wireless body area network propagation characteristics of indoor environment at 10 GHz [J]. Chinese Journal on Internet of Things, 2022, 6(1): 82-90.
[10]	Xin SU, Su JIANG, Yiqing ZHOU. Research on location privacy protection of mobile terminals for maritime monitoring sensor networks [J]. Chinese Journal on Internet of Things, 2021, 5(4): 26-36.
[11]	Mengya LI, Zhengquan LI. A NB-IoT access scheme based on Beta distribution [J]. Chinese Journal on Internet of Things, 2021, 5(3): 70-77.
[12]	Yiyang HU, Lina QI. Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing [J]. Chinese Journal on Internet of Things, 2021, 5(3): 78-85.
[13]	Manzhu WANG, Ziqi LI, Yifei CHEN, Gaofeng HONG, Wei SU. Research and implementation of safety authentication technology in Internet of vehicles [J]. Chinese Journal on Internet of Things, 2021, 5(3): 106-114.
[14]	Guangming SHI, Yong XIAO, Yingyu LI, Dahua GAO, Xuemei XIE. Semantic communication networking for the intelligence of everything [J]. Chinese Journal on Internet of Things, 2021, 5(2): 26-36.
[15]	Jing LU, Hanlin LI, Lin GAO. Design of task dividing and offloading algorithm in mobile edge computing [J]. Chinese Journal on Internet of Things, 2021, 5(2): 78-86.