Abstract
In the hybrid cellular network with Simultaneous Wireless Information and Power Transfer (SWIPT), interference signal is a source of energy. In this paper, we develop a resource allocation scheme, which jointly optimizes transmit powers of base station (BS) and received power splitting ratios for energy harvesting and information processing at the users. Meeting the user’s minimum throughput and energy harvesting rate, we perform with two different objectives to maximize the downlink information rate of small cell users and max-min their throughput. To solve the non-convex optimization problem, we propose to solve a series of geometric programming through the approach of successive convex approximation and devising iterative algorithms based on geometric programming. Numerical results are provided to demonstrate the effectiveness of proposed algorithm and its ability to improve network performance.
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Acknowledgement
This work is supported by the National Natural Science Foundation of China under Grant No. 61273235, the Fundamental Research Funds for the Central Universities of China (No. ZYGX2016J001), the Defense Advance Research Foundation of China under Grants 61401310105 and the Chongqing Research Program Basic Research Frontier Technology (No. cstc2017jcyjA1246).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yang, J., Yao, Z., Hu, J., Li, L., Mao, Y. (2019). Joint Power and Splitting Factor Allocation Algorithms for Energy Harvesting Enabled Hybrid Cellular Networks. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_23
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DOI: https://doi.org/10.1007/978-3-030-14657-3_23
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