计算机科学 ›› 2020, Vol. 47 ›› Issue (4): 243-248.doi: 10.11896/jsjkx.190300410
张继荣, 贾晨晴
ZHANG Ji-rong, JIA Chen-qing
摘要： 为了解决机器到机器(Machine to Machine,M2M)通信中的冲突碰撞、资源短缺等问题,提出了基于终端分组的非正交随机接入和数据传输(Non-Orthogonal Random Access and Data Transmission based on Terminal Grouping,TG-NORA-DT)方案。首先,根据能量消耗速度对机器类型通信设备(Machine Type Communication Devices,MTCDs)进行分组,并对组设定优先级,优先级高的组MTCDs优先分配接入资源。其次,利用到达时间的差异,识别出选择相同前导码的多个MTCDs,且在随后的接入过程中实现冲突MTCDs的功率复用。最后,基于TG-NORA-DT方案,提出一种资源分配方法,以实现在物理随机接入信道(Physical Random Access Channel,PRACH)和物理上行共享信道(Physical Uplink Shared Channel,PUSCH)间的资源合理分配。仿真结果表明,与正交随机接入数据传输协议(Orthogonal Random Access and Data Transmission Protocol,ORADTP)和非正交随机接入的数据传输(Non-Orthogonal Random Access-Data Transmission,NORA-DT)方案相比,TG-NORA-DT方案提高了系统吞吐量和资源利用率,降低了前导码冲突概率,其中资源利用率提高了20%以上。
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| [1]JUNAID M,SHAH M A,SATTI I A.A survey of internet of things,enabling technologies and protocols[C]//2017 23rd International Conference on Automation and Computing (ICAC).Huddersfield:IEEE Press,2017:1-5. [2]ZHAO G F,CHEN J,HAN Y B,et al.Prospective networktechniques for 5G mobile communication:A survey[J].Journal of Chongqing University of Posts and Telecommunications(Nature Science Edition),2015,27(4):441-452. [3]XIA N,CHEN H,YANG C,et al.Radio Resource Management in Machine-to-Machine Communications－A Survey[J].IEEE Communications Surveys & Tutorials,2018,20(1):791-828. [4]MA Z F,CHAI R,ZHOU Y.Utility function maximizationbased joint cell selection and power allocation for heterogeneous M2M communication networks[C]//2018 27th Wireless and Optical Communication Conference (WOCC).Hualien:IEEE Press,2018:1-6. [5]WANG G.Algorithm Study on M2M Communication Random Access[D].Beijing:Tsinghua University,2011. [6]TR 37.868 V11.0.0.Study on RAN Improvements for Machine-type Communications[S].3GPP,2011. [7]WANG Z H,WONG W S.Optimal Access Class Barring forStationary Machine Type Communication Devices With Timing Advance Information[J].IEEE Transactions on Wireless Communications,2015,14(10):5374-5387. [8]GAO E C.Research on Access and Load Balancing Technology for IoT Ultra-dense Scenarios[D].Xi’an:Xidian University,2018. [9]ZHAN W,DAI L.Throughput optimization for massive random access of M2M communications in LTE networks[C]//2017 IEEE International Conference on Communications (ICC).Pa-ris:IEEE Press,2017:1-6. [10]LIANG Y N,LI X,ZHANG J Y,et al.Non-Orthogonal Random Access for 5G Networks[J].IEEE Transactions on Wireless Communications,2017,16(7):4817-4831. [11]WIRIAATMADJA D T,CHOI K W.Hybrid Random Accessand Data Transmission Protocol for Machine-to-Machine Communications in Cellular Networks[J].IEEE Transactions on Wireless Communications,2015,14(1):33-46. [12]BAI J,LI Y,GUO X.Resource Allocation in Non-OrthogonalRandom Access for M2M Communications[C]//2018 IEEE 87th Vehicular Technology Conference (VTC Spring).Porto:IEEE Press,2018:1-5. [13]HSU C,REN Y,LIN K C,et al.Hey! I Have Something forYou:Paging Cycle Based Random Access for LTE-A[C]//2018 IEEE International Conference on Communications (ICC).Kansas City:IEEE Press,2018:1-6. [14]LIU D X,WANG C,LI N,et al.Novel Clustered Access Method for Improving Access Probability of Massive M2M Communications[J].Communications Technology,2017,50(8):1683-1690. [15]YANG W J,LI C Q,ZHANG J R.D2D communication mothod and resource allocation algorithm in 5G networks[J].Journal of Xi’an University of Posts and Telecommunications,2017,22(4):26-30. [16]LU Y,GUAN G M,ZHU X R.A Group-based Random Access Mechanism for M2M Communications[J].Study on Optical Communications,2017(5):65-69. [17]SHI Y Y,LU G Y.Optimized random access mechanism forM2M service in LTE system[J].Application Research Compu-ters,2013,30(12):3742-3744. [18]LI W Y,DU Q H,LIU L J,et al.Dynamic Allocation of RACH Resource for Clustered M2M Communications in LTE Networks[C]//2015 International Conference on Identification,Information,and Knowledge in the Internet of Things (IIKI).Beijing:IEEE Press,2015:140-145. [19]SHI C Z,ZHAO H G,LI X.Energy Group based Random Access Method for M2M Communication[C]//2018 IEEE Internation Conference on Signal Processing,Communications and Computing(ICSPCC).Qingdao:IEEE Press,2018:1-5. [20]TR36.213 V12.4.0.Evolved Universal Terrestrial Radio Access (E-UTRA);physical Layer Producedures[S].3GPP,2014. |
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