Performance Analysis of QoS-Oriented OFDMA Protocol Based on IEEE 802.11ax for Cognitive Radio Network

被引:1
|
作者
Li, Suoping [1 ]
Yang, Hailing [1 ]
Gao, Ruiman [1 ]
Jia, Tongtong [1 ]
Li, Hongli [1 ]
机构
[1] Lanzhou Univ Technol, Sch Sci, Lanzhou 730050, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 12期
基金
中国国家自然科学基金;
关键词
cognitive radio; orthogonal frequency division multiple access; quality of service; two-dimensional Markov chain; EFFICIENT RESOURCE-ALLOCATION; OPTIMIZATION; CHALLENGES; INTERNET; SYSTEMS; THINGS;
D O I
10.3390/app13127163
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
To improve the quality of service (QoS) on the internet of medical things, a cognitive radio (CR) protocol based on orthogonal frequency division multiple access (OFDMA) is proposed, named CR-OFDMA. In this protocol, we divide a complete channel into multiple orthogonal subchannels and enhance the subchannel assignment scheme, which achieves QoS improvement under consideration of priority and fairness. Furthermore, we improve spectrum resource utilization by fully utilizing the remaining subchannels, feedback slots, and backoff slots. Then, a two-dimensional Markov model is established to describe the dynamic characteristics of the protocol operation, where the backoff stage and the backoff counter value constitute the system state. By establishing the traffic conservation equations for the system operation, the transmission probability and collision probability are calculated, and expressions of system throughput, channel utilization, and fairness index are derived. Finally, numerical results validate the advantages of CR-OFDMA.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] An Efficient Backoff Procedure for IEEE 802.11ax Uplink OFDMA-Based Random Access
    Kosek-Szott, Katarzyna
    Domino, Krzysztof
    IEEE ACCESS, 2022, 10 : 8855 - 8863
  • [22] Multi-Agent Reinforcement Learning Based Uplink OFDMA for IEEE 802.11ax Networks
    Han, Mingqi
    Sun, Xinghua
    Zhan, Wen
    Gao, Yayu
    Jiang, Yuan
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (08) : 8868 - 8882
  • [23] Performance Analyses of Uplink MU-OFDMA Hybrid Access MAC in IEEE 802.11ax WLANs
    Behara, Aparna
    Venkatesh, T. G.
    IEEE SYSTEMS JOURNAL, 2022, 16 (04): : 5108 - 5119
  • [24] Hybrid Services QoS Enhancement by Joint Traffic and Access Management in Unsaturated IEEE 802.11ax Network
    Bai, Jiyang
    Wang, Xianbin
    Mei, Jie
    Xin, Yan
    Aboul-Magd, Osama
    Au, Edward
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2023, 10 (06): : 3281 - 3294
  • [25] Uplink OFDMA-Based Random Access Mechanism with Bursty Arrivals for IEEE 802.11ax Systems
    Cheng, Ray-Guang
    Yang, Chi-Ming
    Firmansyah, Bariq S.
    Harwahyu, Ruki
    IEEE Networking Letters, 2022, 4 (01): : 34 - 38
  • [26] OFDMA Backoff Control Scheme for Improving Channel Efficiency in the Dynamic Network Environment of IEEE 802.11ax WLANs
    Kim, Youngboo
    Kwon, Lam
    Park, Eun-Chan
    SENSORS, 2021, 21 (15)
  • [27] 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
  • [28] Experimental evaluation of downlink communication performance of IEEE 802.11ax wireless LAN: OFDM vs. OFDMA
    Oogami, Tatsuya
    Tamura, Hitomi
    Nobayashi, Daiki
    Tsukamoto, Kazuya
    INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING, 2025, 16 (01)
  • [29] Selective OFDMA Transmission Method Based on Downlink Communication Quality Requirements in IEEE 802.11ax Wireless LANs
    Yamakata, Hayato
    Tanigawa, Yosuke
    Tode, Hideki
    2024 IEEE 21ST CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC, 2024, : 851 - 856
  • [30] IEEE 802.11ax TargetWake Time: Design and Performance Analysis in ns-3
    Venkateswaran, Shyam Krishnan
    Tai, Ching-Lun
    Garnayak, Roshni
    Ben-Yehezkel, Yoav
    Alpert, Yaron
    Sivakumar, Raghupathy
    PROCEEDINGS OF THE 2024 WORKSHOP ON NS-3, WNS3 2024, 2024, : 10 - 18