Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing

被引:18
|
作者
Malik, Hassan [1 ]
Alam, Muhammad Mahtab [2 ]
Pervaiz, Hails [3 ]
Le Moullec, Yannick [2 ]
Al-Dulaimi, Anwer [5 ]
Parand, Sven [4 ]
Reggiani, Luca [6 ]
机构
[1] Tallinn Univ Technol, Thomas Johann Seebeck Dept Elect, Tallinn, Estonia
[2] Tallinn Univ Technol, Tallinn, Estonia
[3] Univ Lancaster, Lancaster, England
[4] Telia Estonia Ltd, Tallinn, Estonia
[5] EXFO Inc, Ctr Excellence, Montreal, PQ, Canada
[6] Politecn Milan, Milan, Italy
来源
IEEE NETWORK | 2020年 / 34卷 / 01期
关键词
Uplink; Resource management; Downlink; Delays; Long Term Evolution; Internet of Things; Narrowband;
D O I
10.1109/MNET.001.1900087
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
NB-IoT is a promising cellular technology for enabling low cost, low power, long-range connectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the flexibility to deploy within the existing LTE band. However, this raises serious concerns about the performance of the technology due to severe interference from multi-tier 5G HetNets. Furthermore, as NB-IoT is based on HD-FDD, the symmetric allocation of spectrum band between the downlink and uplink results in underutilization of resources, particularly in the case of asymmetric traffic distribution. Therefore, an innovative RRM strategy needs to be devised to improve spectrum efficiency and device connectivity. This article presents the detailed design challenges that need to be addressed for the RRM of NB-IoT and proposes a novel framework to devise an efficient resource allocation scheme by exploiting cooperative interference prediction and flexible duplexing techniques.
引用
收藏
页码:144 / 151
页数:8
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