Traffic-aware resource allocation schemes for HetNet based on CDSA

被引:1
|
作者
Li, Lin [1 ]
Zhao, Long [1 ]
Long, Hang [1 ]
Wang, Xiaoyu [2 ]
Zheng, Kan [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Key Lab Univ Wireless Commun, Minist Educ, Beijing, Peoples R China
[2] Orange Labs Int Ctr Beijing, Orange Int Labs China NPIT, Beijing 100013, Peoples R China
基金
美国国家科学基金会;
关键词
5G mobile communication; traffic-aware resource allocation schemes; CDSA; control-data separation architecture; heterogeneous network; fifth-generation mobile communication systems; CDSA-based HetNet; traffic-congestion requirements; orthogonal spectrum; adaptive resource allocation schemes; SEPARATION; MOBILE; MANAGEMENT;
D O I
10.1049/iet-com.2016.0695
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
The control-data separation architecture (CDSA) has been regarded as a promising solution to effectively manage the heterogeneous network (HetNet) in the fifth-generation mobile communication systems. Thus, this study investigates the resource allocation problems in CDSA-based HetNet. To meet various requirements of data transmission, the authors first present a new framework with flexible resource management and efficient traffic control. In this framework, the control-data transmission supported by macro cell evolved nodeB is time-sensitive and continuous with high reliability. On the basis of it, a traffic-aware resource allocation approach is proposed to improve the resource efficiency. Once the traffic-congestion requirements of the pattern are satisfied with the minimum spectrum, the throughput of small cells is simultaneously maximised due to orthogonal spectrum between macro and small cells by using this approach. Moreover, the traffic-congestion analytical result is elaborately derived in terms of current network state. Three adaptive resource allocation schemes for implementing this approach are also designed with different complexities. Numerical results validate the accuracy of the proposed analytical method, and also indicate that the traffic-aware resource allocation approach is more efficient than the static one.
引用
收藏
页码:942 / 950
页数:9
相关论文
共 50 条
  • [1] Traffic-Aware Resource Allocation for Multi-User Beamforming
    Liu, Yu-Hsuan
    Lin, Kate Ching-Ju
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2023, 22 (06) : 3677 - 3690
  • [2] Traffic-aware Resource allocation with aggregation in Heterogeneous Networks with WLANs
    Lee, Haeyoung
    Vahid, Seiamak
    Moessner, Klaus
    2018 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2018, : 70 - 74
  • [3] Traffic-aware Resource Allocation for Full Duplex Wireless Networks
    Liu, Ming
    Mao, Yuming
    Leng, Supeng
    Huang, Xiaoyan
    Zhao, Quanxin
    2016 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2016,
  • [4] Traffic-Aware Energy-Efficient Resource Allocation for RSMA Based UAV Communications
    Xiao, Meng
    Cui, Huanxi
    Huang, Dianrun
    Zhao, Zhongliang
    Cao, Xianbin
    Wu, Dapeng Oliver
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 11 (03): : 2537 - 2548
  • [5] Traffic-aware resource allocation scheme for mMTC in dynamic TDD systems
    Teng, Yinglei
    Liang, Wenyao
    Zhang, Yong
    Yang, Ruizhe
    IET COMMUNICATIONS, 2018, 12 (15) : 1910 - 1918
  • [6] Traffic-Aware Beam Selection and Resource Allocation for 5G NR
    Liu, Yu-Hsuan
    Lin, Kate Ching-Ju
    2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2020,
  • [7] Traffic-Aware Resource Provisioning for Distributed Clouds
    Xu, Dan
    Liu, Xin
    Vasilakos, Athanasios V.
    IEEE CLOUD COMPUTING, 2015, 2 (01): : 30 - 39
  • [8] Traffic-aware Resource Controller for IaaS Clouds
    Onoue, Koichi
    Matsuoka, Naoki
    2015 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2015, : 91 - 98
  • [9] A traffic-aware resource allocation scheme for internet of vehicles: A supply and demand function approach
    Kang, Lin
    Li, Jinlan
    Li, Xiuhua
    Wang, Weidong
    Zhang, Yinghai
    Poslad, Stefan
    Journal of Computational Information Systems, 2015, 11 (03): : 987 - 994
  • [10] Traffic-aware Carrier Allocation with Aggregation for Load Balancing
    Lee, Haeyoung
    Vahid, Seiamak
    Moessner, Klaus
    2017 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2017,