Radar-Aided Communication Scheduling Algorithm for 5G and Beyond Networks

被引:3
|
作者
Jaradat, Ahmad M. [1 ]
Naeem, Ahmed [1 ]
Saglam, Mehmet Izzet [2 ]
Kartal, Mesut [3 ]
Arslan, Huseyin [1 ]
机构
[1] Istanbul Medipol Univ, Dept Elect & Elect Engn, TR-34810 Istanbul, Turkey
[2] Turkcell Teknol Arastirma & Gelistirme Anonim Sir, Dept Res & Dev, TR-34854 Istanbul, Turkey
[3] Istanbul Tech Univ, Dept Elect & Commun Engn, TR-34467 Istanbul, Turkey
关键词
Radar; Signal to noise ratio; Interference; Resource management; Millimeter wave communication; Chirp; 5G mobile communication; Media Access Control; Radio communication; New Radio; Radar-aided communication scheduling; range; medium access control (MAC); radio resource management (RRM); scheduling; signal-to-interference-plus-noise ratio (SINR); velocity; 5G new radio (NR); beyond (B5G); JOINT RADAR; URLLC; EMBB; COEXISTENCE; DOWNLINK;
D O I
10.1109/ACCESS.2022.3205641
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Radar and communication coexistence is an upcoming technology with numerous research opportunities in the medium access control (MAC) layer, particularly in scheduling and radio resource management (RRM). More efficient scheduling algorithms are needed with the wide range of applications that the wireless environment is experiencing. We investigate an echo-based scenario in the radar-aided vehicular communication system in which an echo is reflected from a target. Unlike the conventional scheduling mechanisms where signal-to-interference-plus-noise ratio (SINR) is exploited, this paper proposes a new radar-aided communication scheduling algorithm by utilizing parameters such as range and velocity with the classical SINR measurements. The proposed algorithm schedules the available resources by extracting information from the radar echo. The proposed radar-aided communication scheduling scheme provides a more flexible design by adding new parameters, resulting in a more efficient algorithm in a broad variety of scenarios. The proposed scheme is beneficial for B5G communication systems that allow localization and sensing as key features of next-generation wireless networks.
引用
收藏
页码:96403 / 96413
页数:11
相关论文
共 50 条
  • [1] Distributed Radar-aided Vehicle-to-Vehicle Communication
    Aydogdu, Canan
    Liu, Fan
    Masouros, Christos
    Wymeersch, Henk
    Rydstrom, Mats
    2020 IEEE RADAR CONFERENCE (RADARCONF20), 2020,
  • [2] Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey
    Mamane, Asmae
    Fattah, Mohammed
    El Ghazi, Mohammed
    El Bekkali, Moulhime
    Balboul, Younes
    Mazer, Said
    IEEE ACCESS, 2022, 10 : 51643 - 51661
  • [3] Radar-aided reconfigurable intelligent surface for vehicular wireless communication
    Wang, Kun
    Tian, Yuze
    Yan, Tai
    Wang, Bo
    Shi, Xintong
    Xiong, Jie
    Yu, Wen
    Jin, Jing
    Lin, Hai
    Tang, Wenxuan
    OPTICS EXPRESS, 2025, 33 (05): : 11996 - 12011
  • [4] A Resource Scheduling Algorithm with Low Latency for 5G Networks
    Wang C.
    Tang H.
    You W.
    Wang X.
    Yuan Q.
    Tang, Hongbo, 2018, Xi'an Jiaotong University (52): : 117 - 124
  • [5] QoE Sustainability on 5G and Beyond 5G Networks
    Kao, Hsiao-Wen
    Wu, Eric Hsiao-Kuang
    IEEE WIRELESS COMMUNICATIONS, 2023, 30 (01) : 118 - 125
  • [6] Intelligent Edge-Aided Network Slicing for 5G and Beyond Networks
    Tang, Jianhang
    Nie, Jiangtian
    Yang, Wei
    Lim, Bryan
    Zhang, Yang
    Xiong, Zehui
    Niyato, Dusit
    Guizani, Mohsen
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022,
  • [7] Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
    Musbahu Mohammed Adam
    Liqiang Zhao
    Kezhi Wang
    Zhu Han
    ChinaCommunications, 2023, 20 (07) : 137 - 174
  • [8] Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
    Adam, Musbahu Mohammed
    Zhao, Liqiang
    Wang, Kezhi
    Han, Zhu
    CHINA COMMUNICATIONS, 2023, 20 (07) : 137 - 174
  • [9] MADRL based Scheduling for 5G and Beyond
    Chang, Hao-Hsuan
    Sree, R. B. Sai
    Chen, Hao
    Zhang, Jianzhong
    Liu, Lingjia
    2022 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM), 2022,
  • [10] Distributed BESS Scheduling for Power Demand Reshaping in 5G and Beyond Networks
    Qin, Peng
    Tang, Guoming
    Fu, Yang
    Wang, Yi
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2024, 8 (01): : 162 - 176