A Survey on NB-IoT Random Access: Approaches for Uplink Radio Access Network Congestion Management

被引:1
|
作者
Iiyambo, Loini [1 ]
Hancke, Gerhard [1 ,2 ]
Abu-Mahfouz, Adnan M. [1 ,3 ]
机构
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0028 Pretoria, South Africa
[2] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
[3] CSIR, ZA-0184 Pretoria, South Africa
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Uplink; Surveys; Internet of Things; NOMA; Narrowband; Downlink; Radio access networks; Multiaccess communication; Machine learning; Narrowband Internet of Things; random access; radio access network congestion; grant-free non-orthogonal multiple access; machine learning; NONORTHOGONAL MULTIPLE-ACCESS; NARROW-BAND INTERNET; PRIORITIZED RANDOM-ACCESS; SLOTTED ALOHA; NOMA; 5G; MTC; OPTIMIZATION; DESIGN; SCHEME;
D O I
10.1109/ACCESS.2024.3419216
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 one of the most promising technologies for enabling reliable communication among low-power, and low cost devices present in massive machine-type communications (mMTC). In NB-IoT, random access (RA) is implemented in the medium access control (MAC) layer to resolve access contention among massive IoT devices. Efficient network access techniques are required to effectively solve the massive access issues in NB-IoT, guaranteeing increased throughput and high spectrum utilization. In this paper, we present a comprehensive overview of NB-IoT towards supporting mMTC, with focus on the NB-IoT coexistence with 5G, as well the design challenges and requirements of RA in NB-IoT. Moreover, available literature is reviewed to highlight the RA congestion control schemes proposed during the past few years to alleviate RA collisions. While existing RA approaches mainly focus on conventional contention-based techniques for performing RA, intelligent learning based and grant-free Non-Orthogonal Multiple Access (NOMA) have been identified as a potential candidates to increase the transmission efficiency of mMTC applications.
引用
收藏
页码:95487 / 95506
页数:20
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