Abstract
Green communication has become a hot topic in the field of wireless communication. This paper aims to improve the Quality of Service (QoS) of the system and minimizes the energy consumption by the spectrum-energy cooperation between adjacent base stations. We formulate the proposed spectrum-energy cooperation model as a hybrid constrained many-objective optimization problem (MaOP). To improve the efficiency of optimization algorithm, an alternate optimization algorithm is presented to address the proposed complex MaOP. The evolutionary multiobjective algorithm is employed for spectrum cooperation optimization which is discrete optimization problem, meanwhile classical optimization method is employed for energy consumption optimization and energy cooperation optimization that are continuous optimization problems. Simulation results show the effectiveness of the algorithm.
This work was supported by the National Natural Science Foundation of China under Grants 61672444, 61673121 and 61703108, in part by the Natural Science Foundation of Guangdong Province under Grant 2017A030310467, the Projects of Science and Technology of Guangzhou under Grant 201508010008, the SZSTI Grant: JCYJ20160531194006833, and the Faculty Research Grant of Hong Kong Baptist University (HKBU) under Project: FRG2/16-17/051.
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Gu, F., Liu, Z., Cheung, Ym., Liu, HL. (2017). Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network. In: Shi, Y., et al. Simulated Evolution and Learning. SEAL 2017. Lecture Notes in Computer Science(), vol 10593. Springer, Cham. https://doi.org/10.1007/978-3-319-68759-9_67
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