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Spectral and energy efficient cognitive radio‐aided heterogeneous cellular network with uplink power adaptation
Author(s) -
Tang Wuchen,
Shakir Muhammad Z.,
Imran Muhammad A.,
Tafazolli Rahim,
Qaraqe Khalid A.,
Wang Jiasong
Publication year - 2016
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1002/wcm.2673
Subject(s) - computer science , power control , cognitive radio , throughput , telecommunications link , efficient energy use , spectral efficiency , frame (networking) , transmitter power output , interference (communication) , energy (signal processing) , power (physics) , cellular network , computer network , real time computing , electronic engineering , telecommunications , transmitter , wireless , electrical engineering , engineering , channel (broadcasting) , physics , statistics , mathematics , quantum mechanics
In future heterogeneous cellular networks, cognitive radio compatible with device to device communication technique can be an aid to further enhance system spectral and energy efficiency. The unlicensed smart devices (SDs) are allowed to detect the available licensed spectrum and utilise the spectrum resource which is detected as not being used by the licensed users. In this work, we propose such a system and provide comprehensive analysis of the effect of selection of SDs' frame structure on the energy efficiency, throughput and interference. Moreover, uplink power control strategy is also considered where the licensed users and SDs adapt the transmit power based on the distance from their reference receivers. The optimal frame structure with power control is investigated under high‐signal‐to‐noise ratio (SNR) and low‐SNR network environments. The impact of power control and optimal sensing time and frame length, on the achievable energy efficiency, throughput and interference are illustrated and analysed by simulation results. It has been also shown that the optimal sensing time and frame length which maximizes the energy efficiency of SDs strictly depends on the power control factor employed in the underlying network such that the considered power control strategy may decrease the energy efficiency of SDs under very low‐SNR regime. Copyright © 2016 John Wiley & Sons, Ltd.

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