Interest-Based Semantic Information Transmission With RSMA in Smart Cities

被引:0
|
作者
Cheng, Yanyu [1 ]
Niyato, Dusit [2 ]
Du, Hongyang [2 ]
Kang, Jiawen [3 ]
Miao, Chunyan [2 ]
Kim, Dong In [4 ]
机构
[1] Nanyang Technol Univ, Alibaba NTU Singapore Joint Res Inst, Singapore, Singapore
[2] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore
[3] Guangdong Univ Technol, Sch Automat, Guangzhou, Peoples R China
[4] Sungkyunkwan Univ, Dept Elect & Comp Engn, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Quality of experience; rate splitting multiple access; semantic information; smart city; NOMA;
D O I
10.1109/ICC45041.2023.10279270
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper, we propose an interest-based semantic information transmission framework with rate splitting multiple access (RSMA), to reduce the amount of transmitted data, thereby reducing the burden of data transmission and data processing. In the framework, only the semantic information of interest is transmitted to each user. In the process of semantic information transmission, RSMA is adopted to improve transmission efficiency. In particular, we adopt maximum ratio transmission and zero-forcing for the precoding of the common and private streams, respectively. We also design the quality of experience (QoE) for the system as a performance metric. Experimental results demonstrate the effectiveness of the proposed framework as compared with the benchmark.
引用
收藏
页码:82 / 87
页数:6
相关论文
共 50 条
  • [31] Gender and interest-based motivation in learning dance
    Shen, B
    Chen, A
    Tolley, H
    Scrabis, KA
    JOURNAL OF TEACHING IN PHYSICAL EDUCATION, 2003, 22 (04) : 396 - 409
  • [32] Interest-Based Clustering Approach for Social Networks
    AlSuwaidan, Lulwah
    Ykhlef, Mourad
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (02) : 935 - 947
  • [33] Interest-based recommendations for business intelligence users
    Drushku, Krista
    Aligon, Julien
    Labroche, Nicolas
    Marcel, Patrick
    Peralta, Veronika
    INFORMATION SYSTEMS, 2019, 86 : 79 - 93
  • [34] Interest-based queries for time series data
    Jin, XM
    Lu, YC
    Shi, CY
    6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XI, PROCEEDINGS: COMPUTER SCIENCE II, 2002, : 489 - 493
  • [35] Interest-Based Clustering Approach for Social Networks
    Lulwah AlSuwaidan
    Mourad Ykhlef
    Arabian Journal for Science and Engineering, 2018, 43 : 935 - 947
  • [36] Interest-based negotiation: Beyond collective bargaining
    Bizony, NJ
    AQP'S 19TH ANNUAL SPRING CONFERENCE AND RESOURCE MART, 1997 PROCEEDINGS - "THE SPIRIT OF WORKING TOGETHER", 1997, : 306 - 316
  • [37] Study on Interest-based Association Rules Algorithm
    Sun, Tieli
    Liu, Zhenghong
    Liu, Yanji
    Li, Zhiying
    2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 2, PROCEEDINGS, 2009, : 478 - 480
  • [38] Semantic Data Management in Smart Cities
    Kettouch, Mohamed
    Luca, Cristina
    Khorief, Ouissem
    Wu, Rui
    Dascalu, Sergiu
    2017 INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT (OPTIM) & 2017 INTL AEGEAN CONFERENCE ON ELECTRICAL MACHINES AND POWER ELECTRONICS (ACEMP), 2017, : 1126 - 1131
  • [39] Discovering interest-based community structure in Gnutella
    Niu, Erli
    Sun, Xiaohui
    Chen, Jun
    Wang, Jinglin
    2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 2, 2008, : 516 - 519
  • [40] Interest-based bargaining: efficient, amicable and wise?
    Michael, Boniface
    Michael, Rashmi
    EMPLOYEE RELATIONS, 2013, 35 (05) : 460 - 478