A Computationally Efficient Adaptive Resource Allocation Scheme for M2M Communications

被引:0
|
作者
Wu, Yali [1 ,2 ]
Zhang, Ningbo [1 ,2 ]
Kang, Guixia [1 ,2 ]
Liu, Peizhi [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Key Lab Universal Wireless Commun, Beijing, Peoples R China
[2] Sci & Technol Informat Transmiss & Disseminat Com, Beijing, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Machine-to-Machine communications; Random access; Successful access; Resource allocation; ACCESS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Motivated by improving the number of successful access for machine-to-machine (M2M) communications, and realizing resource allocation for any number of active M2M UEs with less computation, a computationally efficient adaptive resource allocation scheme is given in this paper. eNB first learns the resource allocation for few active M2M UEs, which is adaptively changed with the number of uplink resource blocks. Then the resource allocation for other M2M UEs is derived from those active M2M UEs. In addition, the access barring scheme is incorporated to improve the number of successful access. Experimental simulations demonstrate our scheme can significantly improve the number of successful access and reduce resource allocation computation.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Computing Resource Constraint in Wireless M2M Communications
    Liao, Yun
    Song, Lingyang
    2016 IEEE 17TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2016,
  • [32] An Improved Random Access Scheme for M2M Communications
    Yali Wu
    Guixia Kang
    Yanyan Guo
    Xia Zhu
    Ningbo Zhang
    中国通信, 2016, 13 (06) : 12 - 21
  • [33] A Dynamic Rate Adaptation Scheme for M2M Communications
    Wu, Yalong
    Yu, Wei
    Griffith, David
    Golmie, Nada
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [34] An Improved Random Access Scheme for M2M Communications
    Wu, Yali
    Kang, Guixia
    Guo, Yanyan
    Zhu, Xia
    Zhang, Ningbo
    CHINA COMMUNICATIONS, 2016, 13 (06) : 12 - 21
  • [35] Energy-Efficient Power Allocation for M2M Communications with Energy Harvesting Transmitter
    Wing, Derrick
    Kwan Ng
    Schober, Robert
    2012 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2012, : 1644 - 1649
  • [36] Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machine (M2M) Communications
    Li, Ning
    Cao, Chao
    Wang, Cong
    SENSORS, 2017, 17 (06):
  • [38] Reinforcement Learning-Based Resource Allocation for M2M Communications over Cellular Networks
    Das, Sree Krishna
    Rahman, Md Siddikur
    Mohjazi, Lina
    Imran, Muhammad Ali
    Rabie, Khaled M.
    2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2022, : 1473 - 1478
  • [39] Joint Resource and Power Allocation for Clustered Cognitive M2M Communications Underlaying Cellular Networks
    Alhussien, Nedaa
    Gulliver, T. Aaron
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (08) : 8548 - 8560
  • [40] Grouping Based Uplink Resource Allocation for Massive M2M Communications over LTE-A
    Xu, Shaoyi
    Li, Junlong
    Qin, Xintao
    2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,