On Proposing Optimization Technique for Maximization of Throughput in Multicarrier Systems Based on CRNs

Rosas, Ahmed A.; Shokair, Mona; El-Dolil, Sami A.

doi:10.1007/s11277-017-4352-7

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The GFDM synchronization limitations could also be reduced by employing an additional cyclic suffix. Rosas et al (2015) [10] established a power allocation technique for two different multicarrier systems, OFDM and GFDM, using the Genetic Algorithm. This method seeks the greatest power value for each subcarrier in order to maximize the overall downlink CR network throughput of the SUs.…”

Section: Related Workmentioning

confidence: 99%

An efficient SLM technique based on chaotic biogeography-based optimization algorithm for PAPR reduction in GFDM waveform

Kumar

Kumar²,

Rose

2022

Automatika

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High data rates, extremely low power consumption, and minimal end-to-end latency are considered to be mandatory requirements for 5G wireless networks. Rapid improvements in design and performance of 5G physical layer waveforms have become necessary. The drawback of Orthogonal Frequency Division Multiplexing (OFDM) is high PAPR, that causes signal distortion, which reduces system efficiency. Generalized frequency division multiplexing (GFDM) is a promising non-orthogonal multicarrier transmission scheme, which has recently received a great deal of attention towards future fifth generation (5G) wireless networks. It overcomes the limitations of orthogonal frequency division multiplexing (OFDM), while preserving most of the advantages of it. Selective Level mapping (SLM) is one of the PAPR reduction techniques, that uses the phase shift technology. In this paper, SLM based on Chaotic Biogeography Based Optimization (CBBO) algorithm is proposed to offer an efficient solution to the problem of high PAPR, existing in the GFDM waveforms. Experimental results prove that, the proposed CBBO-SLM technique provides significant improvement in terms of PAPR reduction, as compared to the conventional SLM methods, such as conventional GFDM and OFDM-SLM. The proposed novel scheme is most suitable for QAM and QPSK applications, as it provides good PAPR reduction performance, at lower computational complexity.

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Section: Related Workmentioning

confidence: 99%

An efficient SLM technique based on chaotic biogeography-based optimization algorithm for PAPR reduction in GFDM waveform

Kumar

Kumar²,

Rose

2022

Automatika

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“…For example, the signal‐to‐interference‐plus‐noise ratio (SINR) in GFDM is more complicated. In the work of Rosas et al, GFDM power allocation in underlay cognitive radio is solved via genetic algorithms. In the work of Dawoud et al, CR resource allocation is done by particle swarm optimization.…”

Section: Introductionmentioning

confidence: 99%

Analysis and rate optimization of GFDM‐based cognitive radios

Mohammadian

Baghani

Tellambura

2018

Trans Emerging Tel Tech

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Generalized frequency division multiplexing (GFDM) is suitable for cognitive radio networks due to its low out‐of‐band emission and high spectral efficiency. In this paper, we thus consider the use of GFDM to allow an unlicensed secondary user (SU) to access a spectrum hole. However, in extremely congested spectrum scenarios, both active incumbent primary users on the left and right channels of the spectrum hole will experience out‐of‐band interference. While constraining this interference, we thus investigate the problem of power allocation to the SU transmitter to maximize the overall data rate where the SU receiver is employing a matched filter or zero‐forcing receiver. The power allocation problem is thus solved as a classic convex optimization problem. Finally, total transmission rate of GFDM is compared with that of orthogonal frequency division multiplexing. For instance, when right and left interference should be below 10 dBm, the capacity gain of GFDM over OFDM is 400%.

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On Proposing Optimization Technique for Maximization of Throughput in Multicarrier Systems Based on CRNs

Cited by 2 publications

References 13 publications

An efficient SLM technique based on chaotic biogeography-based optimization algorithm for PAPR reduction in GFDM waveform

An efficient SLM technique based on chaotic biogeography-based optimization algorithm for PAPR reduction in GFDM waveform

Analysis and rate optimization of GFDM‐based cognitive radios

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