Adaptive multi-user uplink resource allocation based on access delay analysis in IEEE 802.11ax

被引:1
作者
Peng, Min [1 ,2 ]
Yin, Qiqi [1 ]
Zhang, Kai [1 ]
Kai, Caihong [1 ,2 ]
机构
[1] Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei, Peoples R China
[2] Anhui Prov Key Lab Ind Safety & Emergency Technol, Hefei, Peoples R China
基金
中国国家自然科学基金;
关键词
IEEE; 802; 11ax; WLANs; OFDMA; Uplink access; Resource allocation; PERFORMANCE; THROUGHPUT; PROTOCOL;
D O I
10.1007/s11276-022-03192-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In IEEE 802.11ax, orthogonal frequency division multiple access (OFDMA) is introduced in the uplink for multi-user transmission. The uplink resource units (RUs) can be allocated by the combination of random access (RA) and scheduled access (SA) with specific proportion. And the RU allocation ratio of RA to SA will affect the overall performance. In this paper, an adaptive uplink resource allocation scheme is proposed based on the analysis of access delay. To achieve minimum average delay, according to the distribution of different kinds of traffic and the number of stations (STAs) which have reserved RUs for the next uplink transmission, a specific proportion of RUs are allocated for SA and the remainders are for RA. The specific allocation of RUs is obtained by solving the objective function which aims to minimize the expected access delay. When the distribution of traffic or the number of reserved RUs changes, the allocation of RUs for SA and RA will be adjusted accordingly. In this manner, the RUs will be assigned with low access delay, and the utilization of RUs will be guaranteed. The simulation results show that the proposed adaptive allocation scheme outperforms the fixed allocation uplink OFDMA scheme in terms of throughput and access latency.
引用
收藏
页码:1223 / 1235
页数:13
相关论文
共 50 条
  • [41] On PHY Abstraction Modeling for IEEE 802.11ax based Multi-Connectivity Networks
    Anwar, Waqar
    Dev, Sourav
    Kulkarni, Kedar
    Franchi, Norman
    Fettweis, Gerhard
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [42] Performance Analysis of Wi-Fi Networks based on IEEE 802.11ax and the Coexistence with Legacy IEEE 802.11n Standard
    Frommel, Fabian
    Capdehourat, German
    Rodriguez, Benigno
    2021 IEEE URUCON, 2021, : 492 - 495
  • [43] TCP-Aware OFDMA Transmission Based on Traffic Intensity in Downlink and Uplink Directions in IEEE 802.11ax Wireless LANs
    Uemura, Takeru
    Tanigawa, Yosuke
    Tode, Hideki
    2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [44] Resource Allocation for Uplink CSI Sensing Report in Multi-User WLAN Sensing
    Li Y.
    Yan J.
    Long Y.
    Fang X.
    He R.
    Journal of Beijing Institute of Technology (English Edition), 2022, 31 (05): : 524 - 534
  • [45] Adaptive Resource Allocation in Multi-user OFDM-Based Cognitive Radio Systems
    Ding, Guoru
    Wu, Qihui
    Min, Neng
    Zhou, Guangsu
    2009 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2009), 2009, : 1501 - 1505
  • [46] Grouping based adaptive resource allocation for multi-user MIMO-OFDMA with precoding
    Li, Jianjun
    Kim, Hojin
    Kim, Sungjin
    2007 IEEE 66TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, 2007, : 1702 - +
  • [47] A Renewal Theory Based Analytical Model for Multi-Channel Random Access in IEEE 802.11ac/ax
    Khairy, Sami
    Han, Mengqi
    Cai, Lin X.
    Cheng, Yu
    Han, Zhu
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2019, 18 (05) : 1000 - 1013
  • [48] Long-/Short-Term Reinforcement Learning for Multi-APs Channel Allocation in IEEE 802.11ax WLANs
    Chung, Sheng-Han
    Shen, Li-Hsiang
    Feng, Kai-Ten
    2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,
  • [49] Restricted Access Window-Based Resource Allocation Scheme for Performance Enhancement of IEEE 802.11ah Multi-Rate IoT Networks
    Badarla, Sri Pavan
    Harigovindan, V. P.
    IEEE ACCESS, 2021, 9 : 136507 - 136519
  • [50] Performance Analysis and Energy Efficiency of MU- (OFDMA & MIMO) Based Hybrid MAC Protocol of IEEE 802.11ax WLANs
    Behara, Aparna
    Venkatesh, T. G.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (05) : 6474 - 6490