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Energy‐efficient resource allocation in relay‐aided orthogonal frequency division multiplexing cognitive radio networks with quality of service provisioning
Author(s) -
Yan Feiyu,
Zhao Jihong,
Qu Hua,
Xu Xiguang
Publication year - 2020
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4566
Subject(s) - computer science , orthogonal frequency division multiplexing , quality of service , cognitive radio , resource allocation , relay , transmitter power output , mathematical optimization , subcarrier , provisioning , efficient energy use , fractional programming , nonlinear programming , computer network , power (physics) , telecommunications , nonlinear system , wireless , transmitter , electrical engineering , mathematics , channel (broadcasting) , physics , quantum mechanics , engineering
Summary This paper investigates the energy‐efficient resource allocation problem in orthogonal frequency division multiplexing (OFDM)‐based cognitive radio (CR) networks with multiple decode‐and‐forward relays. In order to maximize the system energy efficiency (EE), we jointly optimize the relay selection, subcarrier pairing, and power allocation subject to the transmit power constraints, the interference thresholds at the primary system, and the quality of service (QoS) provisioning for the CR system. Using the fractional programming and the Lagrangian dual decomposition method, the optimization problem which is a mixed‐integer nonlinear program (MINLP) can be efficiently solved to obtain an asymptotically optimal solution. We also propose a suboptimal scheme to reduce the computational complexity at the expense of a little performance loss. Simulation results demonstrate the performance of proposed schemes and the effect of the constraints values.