Fairness and throughput enhancement based resource allocation scheme for underlay cognitive radio networks

Youssef, Kyrillos; Messiha, Nagy W.; Abd‐Elnaby, Mohammed

doi:10.1007/s12046-018-0845-7

Cited by 2 publications

(1 citation statement)

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“…A robust energy efficiency power allocation algorithm is proposed for channel uncertainty underlay CR systems considering the constraints of interference power threshold and minimum target SINR requirement [18]. In order to efficiently distribute the available subcarriers among SUs and maximise the throughput of CR networks, in [19], a centralised subcarrier pairing scheme with associated power allocation mechanism is proposed for underlay multi‐user OFDM taking the threshold of interference and rate loss that PUs can tolerate into consideration. In [20], an algorithm of power allocation for OFDM‐based CR networks is proposed, which operates in licensed frequency bands to minimise the total interference introduced to PUs under the minimum capacity and the total transmit power constraints of the SUs.…”

Section: Introductionmentioning

confidence: 99%

Efficient joint resource allocation for cognitive internet of vehicles networks based on asymmetric relay transmission

Song

Wang

et al. 2021

IET Communications

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In the internet of vehicles (IoV) networks, a direct connection from the source end to the destination end may not be established due to the fast vehicle speed, long distance between vehicles, variable vehicle density, serious channel fading etc. In this paper, a joint resource allocation (RA) in the relay-aided IoV networks is modelled as a mixed binary integer non-linear programming (MBINP), which maximises the throughput of cognitive IoV networks among different subcarriers and relays. To further reduce the computational complexity, a suboptimal scheme is presented. First, the appropriate relay and subcarrier pairs are obtained by averaging the power allocation among the cognitive sources and relays. Second, an alternative optimisation mechanism is proposed to the power allocation. Simulation results show that, different from the symmetric time-slot relay transmission, the asymmetric one can significantly increase the degree of freedom for transmission. Therefore, it is more robust to the impact of the relay node location on the throughput. Moreover, the proposed suboptimal RA algorithm not only can obtain the system capacity close to the optimal one, but also can reduce the computational complexity. At the same time, unacceptable degradation caused by severe channel fading is avoided.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Introductionmentioning

confidence: 99%