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

被引:0
|
作者
Sumeyye Bayrakdar
Ibrahim Yucedag
机构
[1] Duzce University,Computer Engineering Department
来源
关键词
Cognitive radio; Fuzzy logic; Semantic analysis; Social network;
D O I
暂无
中图分类号
学科分类号
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:13
相关论文
共 50 条
  • [21] Cognitive Robotics on 5G Networks
    Lv, Zhihan
    Qiao, Liang
    Wang, Qingjun
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (04)
  • [22] INTELLIGENT COGNITIVE RADIO IN 5G: AI-BASED HIERARCHICAL COGNITIVE CELLULAR NETWORKS
    Wang, Dan
    Song, Bin
    Chen, Dong
    Du, Xiaojiang
    IEEE WIRELESS COMMUNICATIONS, 2019, 26 (03) : 54 - 61
  • [23] Radio Environment Maps for 5G Cognitive Radio Network
    Kakalou, Ioanna
    Psannis, Kostas
    Goudos, Sotirios K.
    Yioultsis, Traianos V.
    Kantartzis, Nikolaos V.
    Ishibashi, Yutaka
    2019 8TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES (MOCAST), 2019,
  • [24] ON 5G RADIO ACCESS ARCHITECTURE AND TECHNOLOGY
    Guey, Jiann-Ching
    Liao, Pei-Kai
    Chen, Yih-Shen
    Hsu, Alex
    Hwang, Chien-Hwa
    Lin, Gabriel
    IEEE WIRELESS COMMUNICATIONS, 2015, 22 (05) : 2 - 5
  • [25] The Challenging of Radio Access Technology for 5G
    Ma, Jianguo
    2019 IEEE MTT-S INTERNATIONAL WIRELESS SYMPOSIUM (IWS 2019), 2019,
  • [26] KEY TECHNOLOGY FOR 5G NEW RADIO
    Zhang, Charlie Jianzhong
    Ma, Jianglei
    Li, Geoffrey Ye
    Kishiyama, Yoshihisa
    Parkvall, Stefan
    Liu, Guangyi
    Kim, Young-Han
    IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (03) : 10 - 11
  • [27] Exploiting Caching and Multicast for 5G Wireless Networks
    Poularakis, Konstantinos
    Iosifidis, George
    Sourlas, Vasilis
    Tassiulas, Leandros
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2016, 15 (04) : 2995 - 3007
  • [28] 5G radio access networks: A survey
    Pana, Vuyo S.
    Babalola, Oluwaseyi P.
    Balyan, Vipin
    ARRAY, 2022, 14
  • [29] 5G radio access networks: A survey
    Pana, Vuyo S.
    Babalola, Oluwaseyi P.
    Balyan, Vipin
    Array, 2022, 14
  • [30] Latency Control of ICN Enabled 5G Networks
    Vakilinia, Shahin
    Elbiaze, Halima
    JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2020, 28 (01) : 81 - 107