Optimal Transmission Policy in Decoupled RF Energy Harvesting Networks
- Authors
- Hwang, Yu Min; Jung, Jun Hee; Shin, Yoan; Kim, Jin Young; Kim, Dong In
- Issue Date
- Feb-2018
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- radio frequency energy harvesting; doubly near-far problem; energy efficiency; optimization; resource allocation
- Citation
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E101A, no.2, pp.516 - 520
- Journal Title
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
- Volume
- E101A
- Number
- 2
- Start Page
- 516
- End Page
- 520
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32023
- DOI
- 10.1587/transfun.E101.A.516
- ISSN
- 1745-1337
- Abstract
- In this letter, we study a scenario based on decoupled RF energy harvesting networks (DRF-EHNs) that separate energy sources from information sources to overcome the doubly near-far problem and improve harvesting efficiency. We propose an algorithm to maximize energy efficiency (EE) while satisfying constraints on the maximum transmit power of the hybrid access point (H-AP) and power beacon (PB), while further satisfying constraints on the minimum quality of service and minimum amount of harvested power in multi-user Rayleigh fading channel. Using nonlinear fractional programming and Lagrangian dual decomposition, we optimize EE with four optimization arguments: the transmit power from the H-AP and PB, time-splitting ratio, and power-splitting ratio. Numerical results show that the proposed algorithm is more energy-efficient compared to baseline schemes.
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