5G系统机器类通信场景下基于动态接入优先级的拥塞控制策略研究
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摘要
随着万物互联的IT3.0时代的到来,机器类通信(Machine-Type Communication,MTC)将成为未来人机物三元互联的5G通信系统中最主要的通信方式之一。然而,MTC设备种类繁多、数目巨大,大量设备同时发起接入时必然会造成网络拥塞、时延长等问题。于是,提出了一种基于动态接入优先级的拥塞控制策略。该方法首先根据MTC设备的时延容忍度进行优先级划分,并依据控制时延动态更新设备优先级,针对不同优先级采用不同的接入概率因子限制接入设备数目。仿真结果表明,提出的方法可以在保证不同优先级设备的接入时延前提下,有效控制海量机器类设备接入时的网络拥塞。
With the advent of IoE(Internet of Everything)IT3.0 age, MTC(Machine-Type Communication)would become one of the most important communication methods in the future 5G communication system with human, machine and object interconnection. However, there are many types and large numbers of MTC devices, and when a large number of devices initiate access at the same time,network congestion and long-time delay would inevitably occur. Therefore, a congestion control strategy based on dynamic access priority is proposed. Firstly, the priority is divided in accordance with the delay tolerance of MTC device. Then, the device priority is dynamically updated according to the control delay.Different access-probability factors are used to limit the number of access devices for different priorities.The simulation results indicate that the proposed method can effectively control the network congestion when massive machine-type equipments are accessed while ensuring the access delay of different-priority devices.
With the advent of IoE(Internet of Everything)IT3.0 age, MTC(Machine-Type Communication)would become one of the most important communication methods in the future 5G communication system with human, machine and object interconnection. However, there are many types and large numbers of MTC devices, and when a large number of devices initiate access at the same time,network congestion and long-time delay would inevitably occur. Therefore, a congestion control strategy based on dynamic access priority is proposed. Firstly, the priority is divided in accordance with the delay tolerance of MTC device. Then, the device priority is dynamically updated according to the control delay.Different access-probability factors are used to limit the number of access devices for different priorities.The simulation results indicate that the proposed method can effectively control the network congestion when massive machine-type equipments are accessed while ensuring the access delay of different-priority devices.
引文
[1]Liu L,Zhou Y,Garcia V,et al.Load Aware Joint CoMPClustering and Inter-cell Resource Scheduling in Heterogeneous Ultra Dense Cellular Networks[J].IEEETrans.Vehicular Technology,2018,67(03):2741-2755.
[2]Zhou Y,Liu H,Pan Z,et al.Spectral and Energy Efficient Two-Stage Cooperative Multicast for LTE-A and Beyond[J].IEEE Wireless Magazine,2014(04):34-41.
[3]Coiler Corporation.Dynamic separate RACH Resource for MTC[EB/OL].(2011-05-09)[2018-11-01].http://www.3gpp.org/ftp/tsg_ran/WG2_R数据链路层/TSGR2_74/Docs.
[4]Andrade T P C,Astudillo C A,Fonseca N S L D.Random Access Mechanism for RAN Overload Control in LTE/LTE-A Networks[C].2015IEEE International Conference on Communications(ICC),2015:5979-5984.
[5]Yoon C.Distributed Queuing with Preamble Grouping for Massive IoT Devices in LTE Random Access[C].2016International Conference on Information and Communication Technology Convergene(ICTC),2016:103-105.
[6]Lee K,Jang J W.An Efficient Contention Resolution Scheme for Massive IoT Devices in Random Access to LTE-A Networks[C].IEEEAccess,2018.
[7]Suyang D,Vahid S M,Vincent W.Dynamic Access Class Barring for M2M Communications in LTENet-works[C].IEEE Global Communications Conference(GLOBECOM),2013.
[8]Bouzouita M,Hadjadj-Aoul Y,Zangar N.Adaptive Access Protocol for Heavily Congested M2M Networks[C].2016IEEE Symposium on Computers and Communication(IS-CC),2016:1117-1119.
[9]Balc A,Sokullu R,Akka M A.Enhancing Performance of M2M Random Access in 3GPP LTE Networks[C].20175th International Symposium on Electrical and Electronics Engineering(ISEEE),2017:1-6.
[10]Zangar N,Gharbi S,Abdennebi M.Service Differentiation Strategy Based on MACB Factor for M2 MCommunications in LTE-A Networks[C].2016 13th IEEE Annual Consumer Communications&Networking Conference(CCNC),2016:693-698.
[11]李林玥.面向超级基站的LTE协议栈MAC层研究与实现[D].北京:中国科学院计算技术研究所,2017.LI Lin-yue.Research and Implementation of LTEProtocol Stack MAC Layer for Super Base Station[D].Beijing:Institute of Computing Technology,Chinese Academy of Sciences,2017.
[12]3GPP TR 37.868 V11.0.0.Study on RAN Improvements for Machine-type Communications(Release 11)[S].2011.
[13]He H,Du Q,Song H.Traffic-aware ACB Scheme for Massive Access in Machine-to-Machine Networks[C].2015 IEEE International Conference on Co mmunications(ICC),2015:617-622.
[14]3GPP TR37.868 V11.0.0.Study on RAN Improvements for Machine Type Communications[S].2011.
[2]Zhou Y,Liu H,Pan Z,et al.Spectral and Energy Efficient Two-Stage Cooperative Multicast for LTE-A and Beyond[J].IEEE Wireless Magazine,2014(04):34-41.
[3]Coiler Corporation.Dynamic separate RACH Resource for MTC[EB/OL].(2011-05-09)[2018-11-01].http://www.3gpp.org/ftp/tsg_ran/WG2_R数据链路层/TSGR2_74/Docs.
[4]Andrade T P C,Astudillo C A,Fonseca N S L D.Random Access Mechanism for RAN Overload Control in LTE/LTE-A Networks[C].2015IEEE International Conference on Communications(ICC),2015:5979-5984.
[5]Yoon C.Distributed Queuing with Preamble Grouping for Massive IoT Devices in LTE Random Access[C].2016International Conference on Information and Communication Technology Convergene(ICTC),2016:103-105.
[6]Lee K,Jang J W.An Efficient Contention Resolution Scheme for Massive IoT Devices in Random Access to LTE-A Networks[C].IEEEAccess,2018.
[7]Suyang D,Vahid S M,Vincent W.Dynamic Access Class Barring for M2M Communications in LTENet-works[C].IEEE Global Communications Conference(GLOBECOM),2013.
[8]Bouzouita M,Hadjadj-Aoul Y,Zangar N.Adaptive Access Protocol for Heavily Congested M2M Networks[C].2016IEEE Symposium on Computers and Communication(IS-CC),2016:1117-1119.
[9]Balc A,Sokullu R,Akka M A.Enhancing Performance of M2M Random Access in 3GPP LTE Networks[C].20175th International Symposium on Electrical and Electronics Engineering(ISEEE),2017:1-6.
[10]Zangar N,Gharbi S,Abdennebi M.Service Differentiation Strategy Based on MACB Factor for M2 MCommunications in LTE-A Networks[C].2016 13th IEEE Annual Consumer Communications&Networking Conference(CCNC),2016:693-698.
[11]李林玥.面向超级基站的LTE协议栈MAC层研究与实现[D].北京:中国科学院计算技术研究所,2017.LI Lin-yue.Research and Implementation of LTEProtocol Stack MAC Layer for Super Base Station[D].Beijing:Institute of Computing Technology,Chinese Academy of Sciences,2017.
[12]3GPP TR 37.868 V11.0.0.Study on RAN Improvements for Machine-type Communications(Release 11)[S].2011.
[13]He H,Du Q,Song H.Traffic-aware ACB Scheme for Massive Access in Machine-to-Machine Networks[C].2015 IEEE International Conference on Co mmunications(ICC),2015:617-622.
[14]3GPP TR37.868 V11.0.0.Study on RAN Improvements for Machine Type Communications[S].2011.