Exploiting 5G Enabled Cognitive Radio Technology for Semantic Analysis in Social Networks

被引:11
|
作者
Bayrakdar, Sumeyye [1 ]
Yucedag, Ibrahim [1 ]
机构
[1] Duzce Univ, Comp Engn Dept, Duzce, Turkiye
关键词
Cognitive radio; Fuzzy logic; Semantic analysis; Social network;
D O I
10.1007/s11277-023-10829-y
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Cognitive radio is an intelligent communication system that is aware of its environment and can dynamically adapt its operating parameters with the aim of providing an efficient use of the scarce spectrum. The main advantage of cognitive radio technology is its ability to adapt and cooperate with all other wireless technologies such as fifth generation technology, 5G. 5G enabled cognitive radio technology provides accelerated communication performance in accordance with spectrum efficiency and energy efficiency. 5G enabled cognitive radio proposes system interoperability and integration of communication system through cognition. Social networking is a common communication media among internet users connected by one or more relationships. Large numbers of internet users share their experiences and thoughts through social networking web sites. Semantic analysis is defined as the process of drawing meaning from text. In this paper, a fuzzy logic based semantic analysis is performed for the estimation of comment content in 5G enabled cognitive radio based social networks. In social networks, the positive comments posted by the users have the positive influence for the members to examine related comments. The comment content posted by the users is decided to be positive or negative with the help of fuzzy logic based semantic analysis approach. In this regard, the relevant interpretation can be positive or negative based on the input parameters in the fuzzy logic system. Our 5G enabled cognitive radio technology based semantic analysis approach with fuzzy logic system can be utilized in many social networks, taking superior accuracy results of 93% into account.
引用
收藏
页码:1585 / 1598
页数:14
相关论文
共 50 条
  • [1] Exploiting 5G Enabled Cognitive Radio Technology for Semantic Analysis in Social Networks
    Sumeyye Bayrakdar
    Ibrahim Yucedag
    Wireless Personal Communications, 2023, 133 : 1585 - 1598
  • [2] Reinforcement Learning Based 5G Enabled Cognitive Radio Networks
    Puspita, Ratih Hikmah
    Shah, Syed Danial Ali
    Lee, Gyu-min
    Roh, Byeong-hee
    Oh, Jimyeong
    Kang, Sungjin
    2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE, 2019, : 555 - 558
  • [3] Emerging Technology for 5G Enabled Vehicular Networks
    Luan, Tom H.
    Chen, Cailian
    Vinel, Alexey
    Cai, Lin
    Chen, Shanzhi
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (10) : 7827 - 7830
  • [4] 5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks
    Ahmad, W. S. H. M. W.
    Radzi, N. A. M.
    Samidi, F. S.
    Ismail, A.
    Abdullah, F.
    Jamaludin, M. Z.
    Zakaria, M. N.
    IEEE ACCESS, 2020, 8 : 14460 - 14488
  • [5] 5G: Adaptable Networks Enabled by Versatile Radio Access Technologies
    Sexton, Conor
    Kaminski, Nicholas J.
    Marquez-Barja, Johann M.
    Marchetti, Nicola
    DaSilva, Luiz A.
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (02): : 688 - 720
  • [6] On Platform to Enable the Cognitive Radio Over 5G Networks
    Hindia, Mhd Nour
    Qamar, Faizan
    Ojukwu, Henry
    Dimyati, Kaharudin
    Al-Samman, Ahmed M.
    Amiri, Iraj Sadegh
    WIRELESS PERSONAL COMMUNICATIONS, 2020, 113 (02) : 1241 - 1262
  • [7] On Platform to Enable the Cognitive Radio Over 5G Networks
    MHD Nour Hindia
    Faizan Qamar
    Henry Ojukwu
    Kaharudin Dimyati
    Ahmed M. Al-Samman
    Iraj Sadegh Amiri
    Wireless Personal Communications, 2020, 113 : 1241 - 1262
  • [8] Analysis of Cognitive Radio for LTE and 5G Waveforms
    Ramamoorthy, Ramesh
    Sharma, Himanshu
    Akilandeswari, A.
    Gour, Nidhi
    Kumar, Arun
    Masud, Mehedi
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2022, 43 (03): : 1207 - 1217
  • [9] Primary User Localization and Its Error Analysis in 5G Cognitive Radio Networks
    Saeed, Nasir
    Nam, Haewoon
    Al-Naffouri, Tareq Y.
    Alouini, Mohamed-Slim
    SENSORS, 2019, 19 (09)
  • [10] Blocking Rate Analysis in Heterogeneous Multicell Cognitive-Radio 5G Networks
    Halloush, Rami
    Al-Taha, Aseel
    Salameh, Hythem Bany
    Musa, Ahmed
    IEEE SYSTEMS JOURNAL, 2023, 17 (03): : 4090 - 4101