Efficient 5G Small Cell Planning With eMBMS for Optimal Demand Response in Smart Grids

• Published in: IEEE transactions on industrial informatics Vol. 13; no. 3; pp. 1471 - 1481
• Main Authors: Saxena, Navrati, Roy, Abhishek, HanSeok Kim
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.06.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; Broadcasting; Communication; Computer architecture; Consumers; Control systems; Cost analysis; Customers; Cyber-physical systems; Demand; Demand response (DR); Dynamic programming; dynamic programming (DP); Dynamical systems; Electric utilities; Energy consumption; Energy management; evolved multimedia broadcast and multicast (eMBMS); Feedback; greedy; Interference; Microprocessors; multicast broadcast single frequency network (MBSFN); Multicasting; Multimedia; NP-complete; Optimization; Planning; Power supplies; Pricing; radio resource management (RRM); Simulation; Smart grid; Smart grids; smart grids (SGs); Time dependence; Wireless communication; Wireless networks
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2017.2681105

Smart Grids (SGs) are emerging cyber-physical systems, equipped with sophisticated communication and information technologies, for efficient and large-scale power supply and management. SGs demand advanced communication technologies between energy providers and consumers, for enabling a control-feedback loop, by using time-dependent pricing. In this paper, we propose an efficient planning of 5G small cells, with evolved multimedia broadcast and multicast communication, between aggregators (small cells) and SG consumers, for efficient demand-response (DR) programs. After pointing out that optimal multicast scheduling and radio resource management problem is NP-complete, we propose two different solutions, based on dynamic programming (DP) and greedy heuristics, for minimizing the energy cost for DR customers. We also analyze the performance of SG user capacity for 5G single cell multicast and multicast broadcast single frequency network. Extensive OPNET simulation results, over actual energy data and real wireless trace, demonstrate that our proposed 5G small cell planning and multicast solutions are capable of reducing energy production cost by 30%, with up to 35% shift in peak energy load, low latency and packet drop.