Energy-Aware Resource Allocation for OFDMA Wireless Networks with Hybrid Energy Supplies

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This code includes the energy harvesting arrival process part, energy-aware resource allocation algorithm part. The simulation results verify the theoretical analysis and also demonstrate the advantages of the EARA algorithm.

Authors Meng Qin, Qinghai Yang, Jian Yang, Daeyoung Park and Kyung Sup Kwak
Journal/Conference Name IET Communications
Paper Category
Paper Abstract In this paper, we investigate the resource allocation for OFDMA wireless networks, where the base station is powered by renewable energy and electric grid. To fully exploit the renewable energy, we propose an energy-aware resource allocation (EARA) algorithm to maximize the network utility, which captures the tradeoff between the system throughput and the grid energy consumption. Specifically, the EARA algorithm only has to track the current system states (e.g., channel and queueing conditions) without requiring a relevant priori distribution knowledge, making it applicable for practical OFDMA wireless networks with unpredictable channel dynamics, renewable energy arrivals and stochastic traffics. Moreover, the performance achieved by the EARA algorithm is theoretically characterized. Most importantly, we develop an implementation architecture to take the EARA algorithm into practice, and also analyze the low implementation costs (e.g., low computational complexity, trivial signaling overhead, etc.). Finally, simulation results verify the theoretical analysis and also demonstrate the advantages of the EARA algorithm.
Date of publication 2017
Code Programming Language MATLAB
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