TY - GEN
T1 - Cooperative interference avoidance scheduler for radio resource management in NB-IoT systems
AU - Mwakwata, Collins Burton
AU - Alam, Muhammad Mahtab
AU - Le Moullec, Yannick
AU - Malik, Hassan
AU - Parand, Sven
N1 - This work was supported in part from the European Unions Horizon 2020 research and innovation program under grant agreement No 668995, European Union Regional Development Fund in the framework of the Tallinn University of Technology Development Program 2016-2022. Furthermore, the authors would like to thank Telia Estonia for their cooperation.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - The design changes on the physical (PHY) layer, i.e. the limited system bandwidth of one physical resource block (PRB), single antenna support, lower-order modulations, etc. inhibit the mapping of traditional long term evolution (LTE) radio resource management techniques to narrowband internet of things (NB-IoT) systems. Consequently, possible interference due to massive connectivity may severely degrade the expected system performance. In this regard, we propose an interference avoidance scheduling algorithm for NB-IoT systems. The algorithm entails a cooperative strategy in which the base stations share their respective scheduling tables which are then used to compute the interference for future transmitting user equipment (UEs). The computed interference values are then used as input to individual base station schedulers to perform scheduling. Each base station's scheduler then allocates the radio resources to the UEs with the lowest possible interference. Extensive simulations are carried out to analyze the performance of our proposed algorithm and compare it to the conventional Round-Robin scheduling scheme. The results show that our proposed algorithm provides up to 36 % throughput improvement to the NB-IoT UE as compared to Round-Robin. Similarly, for the same device's locations, the UEs are experiencing relatively better maximum coupling loss (MCL) which results in lower repetition numbers per coverage class.
AB - The design changes on the physical (PHY) layer, i.e. the limited system bandwidth of one physical resource block (PRB), single antenna support, lower-order modulations, etc. inhibit the mapping of traditional long term evolution (LTE) radio resource management techniques to narrowband internet of things (NB-IoT) systems. Consequently, possible interference due to massive connectivity may severely degrade the expected system performance. In this regard, we propose an interference avoidance scheduling algorithm for NB-IoT systems. The algorithm entails a cooperative strategy in which the base stations share their respective scheduling tables which are then used to compute the interference for future transmitting user equipment (UEs). The computed interference values are then used as input to individual base station schedulers to perform scheduling. Each base station's scheduler then allocates the radio resources to the UEs with the lowest possible interference. Extensive simulations are carried out to analyze the performance of our proposed algorithm and compare it to the conventional Round-Robin scheduling scheme. The results show that our proposed algorithm provides up to 36 % throughput improvement to the NB-IoT UE as compared to Round-Robin. Similarly, for the same device's locations, the UEs are experiencing relatively better maximum coupling loss (MCL) which results in lower repetition numbers per coverage class.
KW - Interference Avoidance
KW - LPWAN
KW - MMTC
KW - NB-IoT
KW - Radio Resource Management
KW - Resource Scheduler
UR - http://www.scopus.com/inward/record.url?scp=85093842431&partnerID=8YFLogxK
U2 - 10.1109/EuCNC48522.2020.9200967
DO - 10.1109/EuCNC48522.2020.9200967
M3 - Conference contribution
AN - SCOPUS:85093842431
T3 - 2020 European Conference on Networks and Communications, EuCNC 2020
SP - 154
EP - 159
BT - 2020 European Conference on Networks and Communications, EuCNC 2020
PB - The Institute of Electrical and Electronics Engineers (IEEE)
T2 - 29th European Conference on Networks and Communications, EuCNC 2020
Y2 - 15 June 2020 through 18 June 2020
ER -