A New Contention-Based PUSCH Resource Allocation in 5G NR for mMTC Scenarios

被引:12
|
作者
Miuccio, Luciano [1 ,2 ]
Panno, Daniela [1 ,2 ]
Riolo, Salvatore [1 ,2 ]
机构
[1] Univ Catania, DIEEI, Catania, Italy
[2] CNIT, I-43124 Parma, Italy
关键词
Uplink; Data communication; Energy consumption; 5G mobile communication; Resource management; Performance evaluation; NOMA; mIoT; SCMA; random access;
D O I
10.1109/LCOMM.2020.3040504
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This letter addresses the uplink radio resource allocation problem in a 5G massive Machine Type Communication (mMTC) scenario, where a large number of MTC devices generate small-sized packets. The current cellular networks are unsuitable for this scenario, due to the limited resources allocated to the Physical Random Access Channel (PRACH) and to the Physical Uplink Shared Channel (PUSCH). To overcome this issue, instead of improving the succeeded access attempts in the PRACH, as widely addressed in literature, we focus on the PUSCH. We present the innovative idea to exploit the unused PUSCH resources to serve also the MTC devices that have failed their access attempt, by assigning them a pool of resources, in a contention-based mode. The simulation results show that the proposed PUSCH Resource Reallocation Algorithm improves significantly any static and dynamic system performance in terms of number of succeeded communications, at the cost a negligible increment of energy consumption.
引用
收藏
页码:802 / 806
页数:5
相关论文
共 50 条
  • [31] 5G New Radio Resource Allocation Optimization for Heterogeneous Services
    Ferdosian, Nasim
    Berri, Sara
    Chorti, Arsenia
    PROCEEDINGS OF 2022 64TH INTERNATIONAL SYMPOSIUM ELMAR-2022, 2022, : 1 - 6
  • [32] A QoS Benchmark System for Telemedicine Communication Over 5G uRLLC and mMTC Scenarios
    Liou, En-Cheng
    Cheng, Shu-Ching
    PROCEEDINGS OF THE 2ND IEEE EURASIA CONFERENCE ON BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY 2020 (IEEE ECBIOS 2020): BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY, 2020, : 24 - 26
  • [33] Semi-distributed Contention-based Resource Allocation for Ultra Reliable Low Latency Communications
    Brown, Patrick
    Elayoubi, Salah Eddine
    IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, 2020, : 1172 - 1180
  • [34] DGPA-ACB: Adaptive RAN Overload Avoidance Control for mMTC in 5G NR
    Tu, Yue
    Xu, Rongtao
    2020 12TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2020, : 777 - 782
  • [35] Research on Prediction Based Emergency Resource Allocation in 5G Uplink
    Xu, Fangmin
    Wu, Lijiao
    Wang, Xiang
    Zhao, Chenglin
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2022, 44 (02) : 611 - 619
  • [36] Fractal Geometry Based Resource Allocation for 5G Heterogeneous Networks
    Maksymyuk, Taras
    Brych, Mykola
    Masyuk, Andriy
    2015 SECOND INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE PROBLEMS OF INFOCOMMUNICATIONS SCIENCE AND TECHNOLOGY (PIC S&T 2015), 2015, : 69 - 72
  • [37] 5G communication resource allocation strategy based on edge computing
    Cao, Lin
    JOURNAL OF ENGINEERING-JOE, 2022, 2022 (03): : 311 - 319
  • [38] A Novel QoS Guaranteed Joint Resource Allocation Framework for 5G NR with Supplementary Uplink Transmission
    Sun, Yanzan
    Huang, Yanyu
    Yu, Tao
    Chen, Xiaojing
    Zhang, Shunqing
    ELECTRONICS, 2023, 12 (07)
  • [39] Characterizing Resource Allocation Trade-Offs in 5G NR Serving Multicast and Unicast Traffic
    Samuylov, Andrey
    Moltchanov, Dmitri
    Kovalchukov, Roman
    Pirrnagomedov, Rustam
    Gaidamaka, Yuliya
    Andreev, Sergey
    Koucheryavy, Yevgeni
    Samouylov, Konstantin
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (05) : 3421 - 3434
  • [40] Resource Regulation Strategy Based on Resource Allocation Benefitstate Transition in 5G Fronthaul
    Liu, Yiqian
    Yang, Hui
    Yu, Ao
    Yao, Qiuyan
    Bao, Bowen
    Zhang, Jie
    2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC, 2020, : 1015 - 1018