TY - JOUR
T1 - Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing
AU - MALIK, HASSAN
AU - Alam, Muhammad Mahtab
AU - Pervaiz, Haris
AU - Le Moullec, Yannick
AU - Al-Dulaimi, Anwer
AU - Pärand, Sven
AU - Reggiani, Luca
N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - 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.
AB - 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.
KW - NB-IoT
KW - predictive interference
KW - duplexing techniques
KW - radio resource management
U2 - https://doi.org/10.1109/MNET.001.1900087
DO - https://doi.org/10.1109/MNET.001.1900087
M3 - Article (journal)
SN - 0890-8044
VL - 34
SP - 144
EP - 151
JO - IEEE Network
JF - IEEE Network
IS - 1
M1 - 8839971
ER -
