Research Article
Joint Power and Splitting Factor Allocation Algorithms for Energy Harvesting Enabled Hybrid Cellular Networks
@INPROCEEDINGS{10.1007/978-3-030-14657-3_23, author={Jianjun Yang and Zhiren Yao and Jie Hu and Longjiang Li and Yuming Mao}, title={Joint Power and Splitting Factor Allocation Algorithms for Energy Harvesting Enabled Hybrid Cellular Networks}, proceedings={IoT as a Service. 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17--18, 2018, Proceedings}, proceedings_a={IOTAAS}, year={2019}, month={3}, keywords={Hybrid cellular networks Resource allocation Wireless information and power transfer}, doi={10.1007/978-3-030-14657-3_23} }- Jianjun Yang
Zhiren Yao
Jie Hu
Longjiang Li
Yuming Mao
Year: 2019
Joint Power and Splitting Factor Allocation Algorithms for Energy Harvesting Enabled Hybrid Cellular Networks
IOTAAS
Springer
DOI: 10.1007/978-3-030-14657-3_23
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.
