Joint Power and Splitting Factor Allocation Algorithms for Energy Harvesting Enabled Hybrid Cellular Networks
| Autor: | Jianjun Yang, Zhiren Yao, Yuming Mao, Jie Hu, Longjiang Li |
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| Rok vydání: | 2019 |
| Předmět: |
Optimization problem
Computer science business.industry 020302 automobile design & engineering 020206 networking & telecommunications Throughput 02 engineering and technology Code rate Base station 0203 mechanical engineering Telecommunications link 0202 electrical engineering electronic engineering information engineering Cellular network Resource allocation Wireless Network performance business Algorithm Throughput (business) |
| Zdroj: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030146566 IoTaaS |
| DOI: | 10.1007/978-3-030-14657-3_23 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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