Title: Energy efficient power allocation with antenna selection for interference alignment-based MIMO-OFDM cognitive radio networks
Authors: P. Reba
Addresses: Department of Electronics and Communication Engineering, PSG Institute of Technology and Applied Research, Coimbatore, Tamil Nadu, India
Abstract: Energy efficient communications in cognitive radio (CR) networks has been of great interest. In order to address the power consumption problem and to maximise the energy efficiency (EE) in MIMO-OFDM underlay CR systems, power allocation (PA) and antenna selection (AS) algorithms are proposed. Interference alignment, which helps in mitigating the interference at primary and secondary receivers, is considered for setting-up the underlay CR scenario. The AS transmit is employed for the secondary users (SUs) on a per-subcarrier basis to improve their QoS. Further, to improve the QoS of both primary user (PU) and SUs, the AS is followed by energy efficient PA. Due to the fractional nature of EE, the EE maximisation problem is transformed into an equivalent parametric optimisation problem based on Dinkelbach method. Simulation results confirm that the proposed EE aware algorithms can improve the EE performance of both PU and SUs than the SE aware algorithms.
Keywords: energy efficiency; interference alignment; multiple input multiple output; MIMO; orthogonal frequency division multiplexing; OFDM; power allocation; antenna selection; underlay cognitive radio; Dinkelbach method; spectral efficiency; green communication; power consumption.
International Journal of Ad Hoc and Ubiquitous Computing, 2021 Vol.36 No.3, pp.169 - 179
Received: 25 May 2020
Accepted: 12 Oct 2020
Published online: 12 Mar 2021 *