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Energy efficiency maximisation in wireless powered networks with cooperative non‐orthogonal multiple access
Author(s) -
Zhang Yongqiang,
He Jianbo,
Guo Songtao,
Wang Fei
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5056
Subject(s) - computer science , wireless , relay , efficient energy use , maximum power transfer theorem , throughput , wireless network , mathematical optimization , energy (signal processing) , spectral efficiency , channel (broadcasting) , computer network , power (physics) , telecommunications , mathematics , electrical engineering , engineering , statistics , physics , quantum mechanics
In the 5G wireless networks, non‐orthogonal multiple access (NOMA) is a promising paradigm to improve its high spectrum efficiency. This study considers applying simultaneous wireless information and power transfer (SWIPT) technique to cooperative NOMA wireless networks, where energy‐constrained relay nodes harvest the ambient radio‐frequency signal and use the harvested energy to forward the packets from sources to destinations. To this end, the authors first formulate the energy‐efficient cooperative transmission problem for SWIPT in NOMA with imperfect channel state information. Then, by exploiting alternative optimisation and dual decomposition, they design an iterative algorithm for power allocation and power splitting (PS) to solve the non‐convex optimisation problem. The authors' simulation results reveal that the proposed algorithm can converge within a few iterations and yield optimal system energy efficiency.

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