NB-IoT optimization for smart meters networks of smart cities: Case study

Abstract The future demands for Smart Meters (SM) applications impose maximizing resources utilization. In this paper, we achieve two main objectives to comply with fifth-generation networks goals and serving the SM applications. First one is to enhance the Narrowband-Internet-of-Things spectral efficiency. The second is to alleviate the signalling burden during each transmission request for SMs. First, we model the uplink scheduler for the NB-IoT access network using the state-machine modelling methodology on the Simulink environment. The simulation results are verified and validated with trusted modelling technique. Second, we optimize the NB-IoT uplink scheduler, which exploits the periodicity nature of SMs applications. We achieve that by proposing an integrated scheduling protocol which rearranges the transmission times of different smart meters utilities, and it draws a map for the transmission schedule of them to better utilize the sparse time resources. The proposed approach comprises architecture, signalling, and algorithms. We evaluate the optimization in term of numbers of SMs versus four performance indicators; resources utilization, spectral efficiency, setup success percentage, and session drop rate according to a case study. The simulation results prove the ability of our proposal to increase the spectrum utilization to 17.47%. This enhancement reflects on spectral efficiency that improved doubled.

[1]  Ning Zhang,et al.  LACS: A Lightweight Label-Based Access Control Scheme in IoT-Based 5G Caching Context , 2017, IEEE Access.

[2]  Waleed Ejaz,et al.  Resource Management for Cognitive IoT Systems With RF Energy Harvesting in Smart Cities , 2018, IEEE Access.

[3]  Sergey Andreev,et al.  Resource allocation and sharing for heterogeneous data collection over conventional 3GPP LTE and emerging NB-IoT technologies , 2018, Comput. Commun..

[4]  Rabindranath Bera,et al.  A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems , 2020, IEEE Internet of Things Journal.

[5]  Yasin Yilmaz,et al.  Reinforcement Learning for Adaptive Resource Allocation in Fog RAN for IoT With Heterogeneous Latency Requirements , 2019, IEEE Access.

[6]  Jun Xu,et al.  Narrowband Internet of Things: Evolutions, Technologies, and Open Issues , 2018, IEEE Internet of Things Journal.

[7]  Jin Cao,et al.  Certificateless Multi-Party Authenticated Encryption for NB-IoT Terminals in 5G Networks , 2019, IEEE Access.

[8]  Hsiao-Hwa Chen,et al.  Radio Resource Management in Machine-to-Machine Communications—A Survey , 2018, IEEE Communications Surveys & Tutorials.

[9]  Yanjing Sun,et al.  Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era , 2018, IEEE Transactions on Industrial Informatics.

[10]  Fei Tong,et al.  Throughput Modeling and Analysis of Random Access in Narrowband Internet of Things , 2018, IEEE Internet of Things Journal.

[11]  Luciano Leonel Mendes,et al.  5G Waveforms for IoT Applications , 2019, IEEE Communications Surveys & Tutorials.

[12]  Jin Cao,et al.  Fast Authentication and Data Transfer Scheme for Massive NB-IoT Devices in 3GPP 5G Network , 2019, IEEE Internet of Things Journal.

[13]  Fadi Al-Turjman,et al.  Small Cells in the Forthcoming 5G/IoT: Traffic Modelling and Deployment Overview , 2019, IEEE Communications Surveys & Tutorials.

[14]  Nei Kato,et al.  Energy-Efficient Group Paging Mechanism for QoS Constrained Mobile IoT Devices Over LTE-A Pro Networks Under 5G , 2019, IEEE Internet of Things Journal.

[15]  Mahesh K. Marina,et al.  Group Communications in Narrowband-IoT: Architecture, Procedures, and Evaluation , 2018, IEEE Internet of Things Journal.

[16]  Luc Martens,et al.  A Novel Design Approach for 5G Massive MIMO and NB-IoT Green Networks Using a Hybrid Jaya-Differential Evolution Algorithm , 2019, IEEE Access.

[17]  Gerhard P. Hancke,et al.  A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges , 2018, IEEE Access.

[18]  Wolfgang Kellerer,et al.  Dynamic Binary Countdown for Massive IoT Random Access in Dense 5G Networks , 2019, IEEE Internet of Things Journal.

[19]  Lorenzo Vangelista,et al.  Comparison of Collision-Free and Contention-Based Radio Access Protocols for the Internet of Things , 2017, IEEE Transactions on Communications.

[20]  Jaiyong Lee,et al.  Prediction-Based Energy Saving Mechanism in 3GPP NB-IoT Networks , 2017, Sensors.

[21]  Luciane Neves Canha,et al.  Communication System Design for an Advanced Metering Infrastructure , 2018, 2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE).

[22]  Amitabha Ghosh,et al.  5G Evolution: A View on 5G Cellular Technology Beyond 3GPP Release 15 , 2019, IEEE Access.

[23]  Symeon Chatzinotas,et al.  An Uplink UE Group-Based Scheduling Technique for 5G mMTC Systems Over LEO Satellite , 2019, IEEE Access.

[24]  Kazi Mohammed Saidul Huq,et al.  Space-Reserved Cooperative Caching in 5G Heterogeneous Networks for Industrial IoT , 2018, IEEE Transactions on Industrial Informatics.

[25]  Ying Chen,et al.  Performance Analysis and Uplink Scheduling for QoS-Aware NB-IoT Networks in Mobile Computing , 2019, IEEE Access.

[26]  Xinyin Xiang,et al.  Anti-Quantum Fast Authentication and Data Transmission Scheme for Massive Devices in 5G NB-IoT System , 2019, IEEE Internet of Things Journal.