Resource Allocation and HARQ Optimization for URLLC Traffic in 5G Wireless Networks

被引:111
|
作者
Anand, Arjun [1 ]
de Veciana, Gustavo [1 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
关键词
URLLC; resource allocation; OFDMA; HARQ; wireless networks; COMMUNICATION;
D O I
10.1109/JSAC.2018.2874122
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
5G wireless networks are expected to support ultra-reliable low latency communications (URLLC) traffic which requires very low packet delays ( < 1 ms) and extremely high reliability (similar to 99.999%). In this paper, we focus on the design of a wireless system supporting downlink URLLC traffic. Using a queuing network-based model for the wireless system, we characterize the effect of various design choices on the maximum URLLC load it can support, including: 1) system parameters such as the bandwidth, link SINR, and QoS requirements; 2) resource allocation schemes in orthogonal frequency-division multiple access (OFDMA)-based systems; and 3) hybrid automatic repeat request schemes. Key contributions of this paper which are of practical interest are: 1) study of how the minimum required system bandwidth to support a given URLLC load scales with associated QoS constraints; 2) characterization of optimal OFDMA resource allocation schemes which maximize the admissible URLLC load; and 3) optimization of a repetition code-based packet re-transmission scheme.
引用
下载
收藏
页码:2411 / 2421
页数:11
相关论文
共 50 条
  • [31] Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks
    Bairagi, Anupam Kumar
    Munir, Md Shirajum
    Alsenwi, Madyan
    Tran, Nguyen H.
    Alshamrani, Sultan S.
    Masud, Mehedi
    Han, Zhu
    Hong, Choong Seon
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (03) : 1736 - 1749
  • [32] Coordinated Resource Allocations for eMBB and URLLC in 5G Communication Networks
    Prathyusha, Yerra
    Sheu, Tsang-Ling
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (08) : 8717 - 8728
  • [33] Resource Allocation and Optimization in Device-to-Device Communication 5G Networks
    Al-Zahrani, Fahad Ahmed
    Khan, Imran
    Zareei, Mahdi
    Zeb, Asim
    Waheed, Abdul
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 69 (01): : 1201 - 1214
  • [34] Quality of Control-aware Resource Allocation In 5G Wireless Access Networks
    Szabo, Geza
    Racz, Sandor
    Reider, Norbert
    Peto, Jozsef
    Aschoff, Rafael Roque
    2018 IEEE 19TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM), 2018,
  • [35] Virtual User Emulation and Resource Allocation Designs for 5G Mobile Wireless Networks
    Wu, Pei-Ying
    Shen, Li-Hsiang
    Feng, Kai-Ten
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [36] Game Theoretical Approach of Downlink Resource Allocation in 5G Wireless Fusion Networks
    Gao, Yuan
    Ao, Hong
    Feng, Zenghui
    Zhou, Weigui
    Hu, Su
    Li, Xiangyang
    2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017), 2017, : 549 - 552
  • [37] Multimedia Resource Allocation in mmWave 5G Networks
    Scott-Hayward, Sandra
    Garcia-Palacios, Emiliano
    IEEE COMMUNICATIONS MAGAZINE, 2015, 53 (01) : 240 - 247
  • [38] Improved Resource Allocation in 5G MTC Networks
    Rehman, Waheed Ur
    Salam, Tabinda
    Almogren, Ahmad
    Haseeb, Khalid
    Din, Ikram Ud
    Bouk, Safdar Hussain
    IEEE ACCESS, 2020, 8 : 49187 - 49197
  • [39] Reinforcement Learning-based Joint Power and Resource Allocation for URLLC in 5G
    Elsayed, Medhat
    Erol-Kantarci, Melike
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [40] A RAN Resource Slicing Mechanism for Multiplexing of eMBB and URLLC Services in OFDMA Based 5G Wireless Networks
    Korrai, Praveenkumar
    Lagunas, Eva
    Sharma, Shree Krishna
    Bandi, Ashok
    Chatzinotas, Symeon
    Ottersten, Bjorn
    IEEE ACCESS, 2020, 8 : 45674 - 45688