Resource Allocation for Multi-Traffic in Cross-Modal Communications

被引:7
|
作者
Wang, Lei [1 ]
Yin, Anmin [1 ]
Jiang, Xue [1 ]
Chen, Mingkai [1 ]
Dev, Kapal [2 ,3 ]
Faseeh Qureshi, Nawab Muhammad [4 ]
Yao, Jiming [5 ]
Zheng, Baoyu [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Key Lab Broadband Wireless Commun & Sensor Network, Minist Educ, Nanjing 210003, Peoples R China
[2] Munster Technol Univ, Dept Comp Sci, Cork T12 P928, Ireland
[3] Univ Johannesburg, Dept Inst Intelligent Syst, ZA-2000 Johannesburg, South Africa
[4] Sungkyunkwan Univ, Dept Comp Educ, Seoul 06030, South Korea
[5] State Grid Smart Grid Res Inst Co Ltd, Power Grid Digitizing Technol Dept, Nanjing 210003, Peoples R China
来源
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT | 2023年 / 20卷 / 01期
基金
中国国家自然科学基金;
关键词
Resource management; Streaming media; Reliability; Optimization; Delays; Network slicing; Quality of service; Cross-modal communications; puncturing architecture; resource allocation; puncturing resource occupation modes; URLLC; EMBB; 5G; ARCHITECTURE; COEXISTENCE; MECHANISM; NETWORKS; SERVICE; CITY;
D O I
10.1109/TNSM.2022.3207776
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cross-modal communications that incorporate audio-visual and tactile signals will bring a more holistic immersive experience to people. However, due to the different transmission requirements of these signals, it is a challenging task to rationalize the allocation of transmission resources. Therefore, this work proposes a joint transmission scheme to deal with the resource allocation problem of diverse signals. Network slicing and puncturing architecture are introduced in the scheme to achieve flexible resource allocation and reduce the wasting of resources. To reduce the negative impact of puncturing transmission on users, we construct the optimization problem related to transmission rate and reliability. This problem can realize the reasonable allocation of radio resources and meet the transmission requirements of the two types of signals. Next, we divide the optimization problem into two parts: video traffic resources allocation and tactile traffic puncturing resources allocation. To solve both of the problems, we leverage the channel matching (CM) algorithm and puncturing resource allocation (PRA) algorithm. In addition, we discuss the advantages and disadvantages of both ways to occupy puncturing resources, namely, occupy resources proportionally (ORP) and occupy resources blocks for transmission (ORB). Finally, the effectiveness of the proposed scheme is verified by comparing the excepted rate and resources loss ratio of system users with different schemes.
引用
收藏
页码:60 / 72
页数:13
相关论文
共 50 条
  • [31] Joint Transmission Reception Point Selection and Resource Allocation for Energy-Efficient Millimeter-Wave Communications
    Liu, Yanping
    Fang, Xuming
    Xiao, Ming
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (01) : 412 - 428
  • [32] Reliability-Oriented Resource Allocation in Short-Packet Backscatter Communications
    Gao, Xuli
    Shi, Liqin
    Ye, Yinghui
    Zheng, Gan
    Lu, Guangyue
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2025, 74 (02) : 3468 - 3473
  • [33] Resource Allocation for Multi-User Downlink MISO OFDMA-URLLC Systems
    Ghanem, Walid R.
    Jamali, Vahid
    Sun, Yan
    Schober, Robert
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (11) : 7184 - 7200
  • [34] Cross-Layer Radio Resource Allocation for Multi-Service Networks of Heterogeneous Traffic
    Shojaeifard, A.
    Saki, H.
    Mahyari, M. M.
    Shikh-Bahaci, M. R.
    2014 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2014, : 621 - 626
  • [35] Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications
    Xiang, Honglin
    Yang, Yang
    He, Gang
    Huang, Jingfei
    He, Dazhong
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (08) : 1659 - 1663
  • [36] Resource Allocation for Text Semantic Communications
    Yan, Lei
    Qin, Zhijin
    Zhang, Rui
    Li, Yongzhao
    Li, Geoffrey Ye
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (07) : 1394 - 1398
  • [37] 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
  • [38] Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications
    Zhang, Xinran
    Peng, Mugen
    Yan, Shi
    Sun, Yaohua
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (07) : 6380 - 6391
  • [39] Cross-Modal Transmission Strategy
    Wei, Xin
    Zhang, Meng
    Zhou, Liang
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32 (06) : 3991 - 4003
  • [40] Flexible Cross-Modal Hashing
    Yu, Guoxian
    Liu, Xuanwu
    Wang, Jun
    Domeniconi, Carlotta
    Zhang, Xiangliang
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (01) : 304 - 314