Energy‐Efficient Outage Capacity in Sensing‐Based Spectrum Sharing Cognitive Radio Networks

Yan, Feiyu; Zhao, Jihong; Qu, Hua; Xu, Xiguang

doi:10.1049/cje.2018.09.016

Cited by 1 publication

(1 citation statement)

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“…15,16 Therefore, optimizing energy efficiency (EE) defined as the number of bits transmitted per unit of energy is becoming more and more crucial. 17 In general, the SE maximization problem only focus on improving system capacity, while the objective of the EE maximization problem is to improve system capacity and reduce power consumption concurrently. Chen et al 18 proposed a suboptimal two-step algorithm to simplify the EE optimization problem in cooperative OFDM network as that in traditional cellular network by introducing a virtual direct link.…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient resource allocation in relay‐aided orthogonal frequency division multiplexing cognitive radio networks with quality of service provisioning

Yan

Zhao

et al. 2020

Int J Communication

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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.

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Section: Introductionmentioning

confidence: 99%