Joint Interference Management and Power Allocation for Relay-Assisted Smart Grid Communications

In this article, we study an interference management and power allocation problem when electrical power communication (EPC) networks are densely deployed in the coverage of licensed networks. The purpose is to reduce the electricity cost and improve the licensed operator’s profit subject to the quality-of-service (QoS) of licensed users (LUs). First, the electricity cost is modeled based on the Taguchi loss function, which links the cost to the communication errors in the EPC networks. The operator’s profit is formulated by introducing a bonus-penalty mechanism, and a rational interference threshold (IT) of the licensed base station (LBS) is set to ensure the QoS of the LU. Second, we formulate the interference management and power allocation problem as a Stackelberg game, and a successive convex approximation algorithm is used to solve this problem to achieve the optimal IT and relay power. The simulation results indicate that the cost to the utility company is reduced and the profit of the LBS increases.

[1]  S Jagadeesan,et al.  Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks , 2016 .

[2]  Hamid Sharif,et al.  Multimedia communications over cognitive radio networks for smart grid applications , 2013, IEEE Wireless Communications.

[3]  Dusit Niyato,et al.  Cooperative transmission for meter data collection in smart grid , 2012, IEEE Communications Magazine.

[4]  Syed Ali Hassan,et al.  An Experimental Evaluation of a Cooperative Communication-Based Smart Metering Data Acquisition System , 2017, IEEE Transactions on Industrial Informatics.

[5]  Ivan Stojmenovic,et al.  Machine-to-Machine Communications With In-Network Data Aggregation, Processing, and Actuation for Large-Scale Cyber-Physical Systems , 2014, IEEE Internet of Things Journal.

[6]  Pei Liu,et al.  Interference Compensation for Smart Grid Communications: A Distributed Power Control Approach , 2018, IEEE Access.

[7]  Rongxing Lu,et al.  A New Differentially Private Data Aggregation With Fault Tolerance for Smart Grid Communications , 2015, IEEE Internet of Things Journal.

[8]  Mugen Peng,et al.  A power optimization algorithm for femtocells to suppress the uplink interference in OFDMA system , 2011 .

[9]  Shengli Xie,et al.  QoS Differential Scheduling in Cognitive-Radio-Based Smart Grid Networks: An Adaptive Dynamic Programming Approach , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[10]  Jeffrey G. Andrews,et al.  Power control in two-tier femtocell networks , 2008, IEEE Transactions on Wireless Communications.

[11]  Ying-Chang Liang,et al.  Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[12]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[13]  Ahmed M. Elaiw,et al.  Hybrid DE-SQP and hybrid PSO-SQP methods for solving dynamic economic emission dispatch problem with valve-point effects , 2013 .

[14]  Dan Wang,et al.  Energy efficient communication networks design for demand response in smart grid , 2011, 2011 International Conference on Wireless Communications and Signal Processing (WCSP).

[15]  Xuemin Shen,et al.  Cooperative cognitive radio networking for opportunistic channel access , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[16]  Raviraj S. Adve,et al.  Relay selection and power allocation in cooperative cellular networks , 2009, IEEE Transactions on Wireless Communications.

[17]  Wen-Long Chin,et al.  Standardization and Security for Smart Grid Communications Based on Cognitive Radio Technologies—A Comprehensive Survey , 2017, IEEE Communications Surveys & Tutorials.

[18]  Peter Xiaoping Liu,et al.  Modeling and Stability Analysis of Automatic Generation Control Over Cognitive Radio Networks in Smart Grids , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[19]  Jamie S. Evans,et al.  Low-Complexity Distributed Algorithms for Spectrum Balancing in Multi-User DSL Networks , 2006, 2006 IEEE International Conference on Communications.

[20]  Chao Yang,et al.  On Demand Response Management Performance Optimization for Microgrids Under Imperfect Communication Constraints , 2017, IEEE Internet of Things Journal.

[21]  H. Vincent Poor,et al.  Relaying technologies for smart grid communications , 2012, IEEE Wireless Communications.

[22]  Xiaodong Ji,et al.  Performance analysis for cooperative relaying in diffusion-based molecular communication , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[23]  J. Douglas Barrett,et al.  Taguchi's Quality Engineering Handbook , 2007, Technometrics.

[24]  Lei Zheng,et al.  Reliable Wireless Communication Networks for Demand Response Control , 2013, IEEE Transactions on Smart Grid.

[25]  Jiming Chen,et al.  Sensing-Performance Tradeoff in Cognitive Radio Enabled Smart Grid , 2013, IEEE Transactions on Smart Grid.

[26]  Li-Chun Wang,et al.  Toward Optimal Multiuser Antenna Beamforming for Hierarchical Cognitive Radio Systems , 2012, IEEE Transactions on Communications.

[27]  Chunxia Dou,et al.  Spectrum Allocation and Power Optimization for Demand-Side Cooperative and Cognitive Communications in Smart Grid , 2019, IEEE Transactions on Industrial Informatics.

[28]  Yu Gong,et al.  Buffer-Aided Relay Selection for Cooperative NOMA in the Internet of Things , 2019, IEEE Internet of Things Journal.

[29]  Zichen Chen,et al.  HICIC: Hybrid Inter-Cell Interference Coordination for Two-Tier Heterogeneous Networks With Non-Uniform Topologies , 2018, IEEE Access.

[30]  Paolo Bellavista,et al.  Convergence of MANET and WSN in IoT Urban Scenarios , 2013, IEEE Sensors Journal.

[31]  Weihua Zhuang,et al.  Stochastic Information Management in Smart Grid , 2014, IEEE Communications Surveys & Tutorials.

[32]  Guoqiang Hu,et al.  A Cooperative Demand Response Scheme Using Punishment Mechanism and Application to Industrial Refrigerated Warehouses , 2014, IEEE Transactions on Industrial Informatics.

[33]  Hao Liang,et al.  Cooperative Relaying Strategies for Smart Grid Communications: Bargaining Models and Solutions , 2017, IEEE Internet of Things Journal.

[34]  Rajiv Misra,et al.  Spectrum access in cognitive smart-grid communication system with prioritized traffic , 2017, Ad Hoc Networks.

[35]  Alagan Anpalagan,et al.  RETRACTED: Prevailing and emerging cyber threats and security practices in IoT-Enabled smart grids: A survey , 2019, Journal of Network and Computer Applications.

[36]  Kai Ma,et al.  Optimal Power Allocation for a Relaying-Based Cognitive Radio Network in a Smart Grid , 2017 .

[37]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[38]  Chao-Shun Chen,et al.  A bridge between the smart grid and the Internet of Things: Theoretical and practical roles of LoRa , 2019 .

[39]  Dong In Kim,et al.  Channel-Access-Aware User Association With Interference Coordination in Two-Tier Downlink Cellular Networks , 2015, IEEE Transactions on Vehicular Technology.

[40]  Choong Seon Hong,et al.  Smart grid cooperative communication with smart relay , 2012, Journal of Communications and Networks.

[41]  Fadi Al-Turjman,et al.  IoT-enabled smart grid via SM: An overview , 2019, Future Gener. Comput. Syst..

[42]  J. Cabero,et al.  A medium-term integrated risk management model for a hydrothermal generation company , 2005, IEEE Transactions on Power Systems.

[43]  Daniel Pérez Palomar,et al.  Power Control By Geometric Programming , 2007, IEEE Transactions on Wireless Communications.

[44]  Kai Ma,et al.  Power Optimization Based on Successive Convex Approximation in Smart Grid Communications , 2018, 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS).