Offset-Aware Resource Allocation in NB-IoT Networks

被引:6
|
作者
Yu, Ya-Ju [1 ]
Li, Liang-Xian [1 ]
机构
[1] Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, Kaohsiung 811, Taiwan
关键词
Cellular networks; downlink resource allocation; Narrowband Internet of Things (NB-IoT); narrowband physical downlink control channel (NPDCCH) offset; uplink resource allocation; NARROW-BAND IOT; OPTIMIZATION; DOWNLINK; SYSTEMS;
D O I
10.1109/JIOT.2022.3189004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Narrowband Internet of Things (NB-IoT) is a critical technology for fifth-generation (5G) and next sixth-generation (6G) networks to meet the high density and latency requirements for massive devices. Before data transmission or reception in NB-IoT networks, a device needs to monitor a search space in a narrowband physical downlink control channel (NPDCCH). When the NPDCCH resource is exhausted, neither data transmission in the narrowband uplink shared channel (NPUSCH) nor data reception in the narrowed downlink shared channel (NPDSCH) is possible, even if the two channels still have available radio resources. To solve the problem, the 3rd generation partnership project (3GPP) puts forth an NPDCCH offset mechanism for NB-IoT, which can set different offset values for different devices. Devices using different NPDCCH offset values can postpone different time intervals for monitoring their NPDCCH search spaces so that the devices do not need to contend for the same NPDCCH search space. However, this article finds that improper use of the NPDCCH offset mechanism will hurt the system's performance. Therefore, this article investigates how to use the NPDCCH offset mechanism in uplink and downlink resource allocation. The objective is to minimize the consumption of uplink and downlink radio resources while each device can transmit and/or receive its data. We propose an offset-aware resource allocation algorithm to solve the problem. Compared with two resource allocation algorithms with and without using the NPDCCH offset, the simulation results provide several insights and show that the proposed algorithm effectively reduces radio resource consumption.
引用
收藏
页码:23967 / 23980
页数:14
相关论文
共 50 条
  • [31] A Low-Complexity Algorithm for NB-IoT Networks
    Alemaishat, Salem
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, BIG DATA AND SECURITY (IOTBDS), 2021, : 205 - 214
  • [32] Monitoring routing status of UAV networks with NB-IoT
    Ji’ao Tang
    Xiaojun Zhu
    Lu Lin
    Chao Dong
    Lei Zhang
    [J]. The Journal of Supercomputing, 2023, 79 : 19064 - 19094
  • [33] Positioning by Multicell Fingerprinting in Urban NB-IoT Networks
    De Nardis, Luca
    Caso, Giuseppe
    Alay, Ozgu
    Neri, Marco
    Brunstrom, Anna
    Di Benedetto, Maria-Gabriella
    [J]. SENSORS, 2023, 23 (09)
  • [34] Monitoring routing status of UAV networks with NB-IoT
    Tang, Ji'ao
    Zhu, Xiaojun
    Lin, Lu
    Dong, Chao
    Zhang, Lei
    [J]. JOURNAL OF SUPERCOMPUTING, 2023, 79 (17): : 19064 - 19094
  • [35] Joint minimization of Transmission energy and Computation Energy for MEC-aware NOMA NB-IoT Networks
    Qian, Li Ping
    Zhu, Zhengying
    Yu, Ningning
    Wu, Yuan
    [J]. 2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [36] A DESIGN OF NB-IOT RANDOM ACCESS PREAMBLE RECEIVER FOR LARGE FREQUENCY OFFSET
    Zhang, Chenchen
    Zhang, Nan
    Cao, Wei
    Tian, Kaibo
    Yang, Zhen
    [J]. 2021 ITU KALEIDOSCOPE CONFERENCE: CONNECTING PHYSICAL AND VIRTUAL WORLDS (ITU K), 2021, : 17 - 22
  • [37] Refraction reverse learning based hybrid Namib Antenna Beetle Optimization for resource allocation in NB-IoT platform
    Manish Kumar Singh
    Yogendra Kumar Verma
    [J]. Multimedia Tools and Applications, 2024, 83 : 53687 - 53713
  • [38] Refraction reverse learning based hybrid Namib Antenna Beetle Optimization for resource allocation in NB-IoT platform
    Singh, Manish Kumar
    Verma, Yogendra Kumar
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (18) : 53687 - 53713
  • [39] Latency-Aware Resource Allocation in Green Fog Networks for Industrial IoT Applications
    Basir, Rabeea
    Qaisar, Saad B.
    Ali, Mudassar
    Naeem, Muhammad
    Joshi, Kishor Chandra
    Rodriguez, Jonathan
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2020,
  • [40] A Design of NB-IOT Random Access Preamble Receiver for Large Frequency Offset
    Zhang, Chenchen
    Zhang, Nan
    Cao, Wei
    Tian, Kaibo
    Yang, Zhen
    [J]. 2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds, ITU K 2021, 2021,