计算机科学 ›› 2021, Vol. 48 ›› Issue (5): 283-288.doi: 10.11896/jsjkx.200300019
王聪1, 魏成强2, 李宁2, 马文峰1, 田辉1
WANG Cong1, WEI Cheng-qiang2, LI Ning2, MA Wen-feng1, TIAN Hui1
摘要: 在H2H和M2M混合场景下,随着大规模M2M(Machine-to-Machine)设备接入网络,受限于有限的接入前导码资源,H2H(Human-to-Human)用户的接入成功率会大幅降低。针对此问题,提出了一种H2H和M2M混合场景下的前导码资源动态分配机制。在满足H2H平均接入时延要求的情况下,动态调整分配给M2M设备的前导码资源数量,然后根据分配的资源数量,自适应调整每个随机接入子帧内参与竞争的M2M设备数量,最大化M2M设备的接入效率。对M2M设备接入成功率及H2H平均接入时延进行仿真,结果表明所提方法相比固定资源分配机制,在H2H平均访问时延较低的情况下,明显提高了M2M设备的接入成功率。
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[1]HUSSAIN F,ANPALAGAN A,VANNITHAMBY R.Medium access control techniques in M2M Communication:Survey and Critical Review [J].Transactions on Emerging Telecommunications Technologies,2014,28(1):1-24. [2]LI S S,XU L D,ZHAO S S.5G Internet of Things:A Survey[J].Journal of Industrial Information Integration,2018,10:1-9. [3]3GPP.3GPP RAN2 71:Pull Based RAN Overload Control[R].Madrid,Spain:3GPP,2010. [4]3GPP.3GPP TR 23.898:Access Class Barring and Overload Protection (Release 7)[R].3GPP,2005. [5]WEI C H,CHENG R G,TSAO S L.Performance Analysis of Group Paging for Machine-Type Communications in LTE Networks[J].IEEE Transactions on Vehicular Technology,2013,62(77):3371-3382. [6]CHEN J,LIN Y,CHENG R.A Delayed Random Access Speed-up Scheme for Group Paging in Machine-Type Communications[C]//Proceedings of the 2015 IEEE International Conference on Communications.Taipei,Taiwan,2015:623-627. [7]SUI N N,XU Y Y,WANG C,et al.Performance Analysis of a Novel Hybrid s-Aloha/Tdma Protocol for Beta Distributed Massive MTC Access[J].Sensors,2017,17(12):1-25. [8]HARWAHYU R,CHENG R G,SARI R F.Consecutive Group Paging for LTE Networks Supporting Machine-type Communications Services[C]//Proc.IEEE 24th Int.Symp.Pers.Indoor Mobile Radio Commun.(PIMRC).2013:1619-1623. [9]HARWAHYU R,WANG X,SARI R,et al.Analysis of Group Paging with Pre-Backoff[J].EURASIP Journal on Wireless Communications & Networking,2015,2015(1):34. [10]CHENG R G,FIRAS A T,CHEN J H,et al.A Dynamic Resource Allocation Scheme for Group Paging in LTE-Advanced Networks[J].IEEE Internet of Things Journal,2015,2(5):427-434. [11]KSENTINI A,HADJADJ-AOU Y,TALEB T.Cellular-basedmachine-to-machine:Overload control[J].IEEE Network,2012,26(6):54-60. [12]HE H,DU Q,SONG H.Traffic-aware ACB Scheme for Massive Access in Machine-to-Machine Networks[C]//Proceedings of the 2015 IEEE International Conference on Communications (ICC).2015:617-622. [13]DUAN S,SHAH-MANSOURI V,WONG V W S.Dynamic Access Class Barring for M2M Communications in LTE Networks[C]//Proceedings of the 2013 IEEE Globecom Workshops (GC Wkshps).2013:9-13. [14]DUAN S,SHAH-MANSOURI V,WANG Z.D-acb:AdaptiveCongestion Control Algorithm for Bursty M2M Traffic in LTE Networks[J].IEEE Transactions on Vehicular Technology,2016,65(12):9847-9861. [15]ZANGAR N,GHARBI S,ABDENNEBI M.Service Differentiation Strategy based on MACB Factor for M2M Communications in LTE-A Networks[C]//Proceedings of the 2016 13th IEEE Consumer Communications & Networking Conference.2016:9-12. [16]3GPP.3GPP TR 37.868:Study on RAN Improvements for Machine-Type Communications[R].Sophia-Antipolis Cedex,France:.3GPP,2011. [17]MALAK D,HUANG H,ANDREWS G.Throughput maximization for delay-sensitive random-access communication[J].IEEE Transactions on Wireless Communications,2019,18(1):709-723. [18]CHENG R G,HUAN Y S,HAWAHYU R.Two-phase random-access procedure for LTE-A networks[J].IEEE Transactions on Wireless Communications,2019,18(4):2374-2387. [19]PARK E,BAE J,HAN Y.Energy-efficient random access for LTE-based stationary IoT networks[J].IEEE Communication Letters,2019,23(2):346-349. [20]KIM T,BANG I.An enhanced random access with preamble-assisted short-packet transmissions for cellular IoT communications[J].IEEE Communication Letter,2019,23(6):1081-1084. [21]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. [22]LI N,CAO C,WANG C.Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machine (M2M) Communications[J].Sensors,2017,17(6):1-20. |
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