Energy Efficient Joint Power Optimization for Full-Duplex Relaying
Full-duplex (FD) relaying is a promising technology for the next generation communication systems. In this paper, we aim to jointly optimize the source and relay transmit powers to maximize the energy efficiency (EE) for both amplify-and-forward (AF) and decode-and-forward (DF) FD relay systems. The...
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doaj-58c18cb526974aad820d87c4dec7e0f12021-03-29T23:11:01ZengIEEEIEEE Access2169-35362019-01-01713704013704710.1109/ACCESS.2019.29426408845581Energy Efficient Joint Power Optimization for Full-Duplex RelayingZhenyao He0https://orcid.org/0000-0002-4655-7635Hong Shen1https://orcid.org/0000-0002-2788-0349Wei Xu2https://orcid.org/0000-0001-9341-8382Chunming Zhao3National Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaFull-duplex (FD) relaying is a promising technology for the next generation communication systems. In this paper, we aim to jointly optimize the source and relay transmit powers to maximize the energy efficiency (EE) for both amplify-and-forward (AF) and decode-and-forward (DF) FD relay systems. The considered problem is challenging, which cannot be directly addressed by the classical Dinkelbach's algorithm. We first develop an iterative algorithm based on concave-convex procedure (CCCP) to find a locally optimal solution. Furthermore, to reduce the computational complexity, we propose an efficient non-iterative method that only needs to solve a single convex problem and meanwhile achieves near-optimal performance. Simulation results show that the proposed solutions can achieve superior EE performance compared to conventional schemes.https://ieeexplore.ieee.org/document/8845581/Full-duplex (FD)amplify-and-forward (AF)decode-and-forward (DF)energy efficiency (EE) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhenyao He Hong Shen Wei Xu Chunming Zhao |
spellingShingle |
Zhenyao He Hong Shen Wei Xu Chunming Zhao Energy Efficient Joint Power Optimization for Full-Duplex Relaying IEEE Access Full-duplex (FD) amplify-and-forward (AF) decode-and-forward (DF) energy efficiency (EE) |
author_facet |
Zhenyao He Hong Shen Wei Xu Chunming Zhao |
author_sort |
Zhenyao He |
title |
Energy Efficient Joint Power Optimization for Full-Duplex Relaying |
title_short |
Energy Efficient Joint Power Optimization for Full-Duplex Relaying |
title_full |
Energy Efficient Joint Power Optimization for Full-Duplex Relaying |
title_fullStr |
Energy Efficient Joint Power Optimization for Full-Duplex Relaying |
title_full_unstemmed |
Energy Efficient Joint Power Optimization for Full-Duplex Relaying |
title_sort |
energy efficient joint power optimization for full-duplex relaying |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
Full-duplex (FD) relaying is a promising technology for the next generation communication systems. In this paper, we aim to jointly optimize the source and relay transmit powers to maximize the energy efficiency (EE) for both amplify-and-forward (AF) and decode-and-forward (DF) FD relay systems. The considered problem is challenging, which cannot be directly addressed by the classical Dinkelbach's algorithm. We first develop an iterative algorithm based on concave-convex procedure (CCCP) to find a locally optimal solution. Furthermore, to reduce the computational complexity, we propose an efficient non-iterative method that only needs to solve a single convex problem and meanwhile achieves near-optimal performance. Simulation results show that the proposed solutions can achieve superior EE performance compared to conventional schemes. |
topic |
Full-duplex (FD) amplify-and-forward (AF) decode-and-forward (DF) energy efficiency (EE) |
url |
https://ieeexplore.ieee.org/document/8845581/ |
work_keys_str_mv |
AT zhenyaohe energyefficientjointpoweroptimizationforfullduplexrelaying AT hongshen energyefficientjointpoweroptimizationforfullduplexrelaying AT weixu energyefficientjointpoweroptimizationforfullduplexrelaying AT chunmingzhao energyefficientjointpoweroptimizationforfullduplexrelaying |
_version_ |
1724189980468707328 |