Energy-Aware Resource Allocation for Cooperative Cellular Network Using Multi-Objective Optimization Approach

• Published in: IEEE transactions on wireless communications Vol. 11; no. 5; pp. 1797 - 1807
• Main Authors: Devarajan, Rajiv, Jha, S. C., Phuyal, U., Bhargava, V. K.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2012; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Channel estimation; Cooperative communication; Detection, estimation, filtering, equalization, prediction; energy efficiency; Equipments and installations; Exact sciences and technology; green communication; imperfect CSI; Information, signal and communications theory; Mobile radiocommunication systems; Operation, maintenance, reliability; Optimization; power allocation; quality of service; Radiocommunications; Relays; resource allocation; Resource management; Signal and communications theory; Signal to noise ratio; Signal, noise; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Throughput; Transmission and modulation (techniques and equipments); user selection; Wireless communication; Cost minimization; Relaying; Parameter estimation; Relay; Cooperative communication; Base station; Wireless telecommunication; Resource allocation; Multiobjective programming; Cell network; Multimedia communication; Power allocation; energy efficiency; Electric power consumption; Cost function; green communication; Minimum energy; Multimedia; Mobile radiocommunication; Multiple access; Cooperative systems; System design; Power sum; quality of service; Information transmission; Energy savings; imperfect CSI; Telecommunication system; Telecommunication network; user selection; Low-power electronics
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2012.030512.110895

Energy consumption in wireless communication system is rapidly increasing due to growing wireless multimedia access. Combating adverse effects of excessive energy consumption demands for energy-aware system design, leading to a new research paradigm called green communication. In this paper, we propose user selection and power allocation schemes for a multi-user, multi-relay cooperative cellular system in order to minimize the cost of transmission. In the proposed schemes, the cost function is first formulated to optimize the weighted sum powers of base and relay stations. It is then extended to a more general multi-objective scheme which jointly optimizes the sum power and throughput keeping a balance between them. In both of the schemes, quality-of-service is guaranteed in terms of end-to-end signal-to-noise ratio. To make the proposed schemes realistic, we assume the presence of estimation errors in channel state information. An algorithm to enhance fairness among users in these schemes is also presented. Simulation results are presented to confirm the performance of proposed schemes in terms of energy efficiency, system throughput, outage probability, and fairness to end users.