Spectrum Sensing in Cognitive Radio Networks : QoS Considerations

Giweli, Nabil; Shahrestani, Seyed; Cheung, Hon

doi:10.5121/csit.2015.51602

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…QoS may vary depending on the application in Cognitive Radio Network. Giweli et al [19] claims that the delay involved in spectrum sensing from 1 PAPR reduction in Wavelet based OFDM using Modified SLM Arjun K R and Surekha T P http://wjst.wu.ac.th method to other even under similar channel conditions may vary and has greater impact on QoS in terms of throughput. The authors [20] have presented different spectrum sensing techniques and their adequacies in spectrum sharing in 5G RANGE.…”

Section: Qos In Cognitive Radiomentioning

confidence: 99%

Peak-to-Average Power Ratio reduction in Wavelet based OFDM using Modified Selective Mapping for Cognitive Radio Applications

Arjun¹,

Surekha²

2021

Walailak J Sci & Tech

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The prospect of guaranteed quality of service for primary and secondary users in the expression of regulated Peak-to-Average Power Ratio (PAPR) and Bit Error Rate (BER) can be increased in Cognitive Radios using Wavelet based OFDM systems which localize spectrum in realms of time and frequency. However, cutting the Gordian knot of high PAPR associated with the Multi-Carrier Modulation schemes to operate in the linear part of the power amplifier nourishing the balance between PAPR and BER is difficult. In this paper, the phase of the subcarriers is altered by a value of finite, equally spaced phase shifts. The frame of Wavelet-based OFDM (WOFDM) with minimum PAPR guarantees the minimum quality of service (QoS) in terms of Throughput. BER is then identified and transmitted. This modification is applied to various Wavelets and compared amongst WOFDM and FFT-based OFDM schemes. The novelty of this paper lies in using Hadamard and/or Toeplitz matrix to generate phase sequences in a modified SLM technique of Wavelet-based OFDM systems while maintaining the minimum required QoS in Cognitive Radios. The result shows that the proposed technique reduces the PAPR compared to unmodified SLM techniques. HIGHLIGHTS Wavelet based OFDM systems localize spectrum in realms of time and frequency The sinusoid bases function in OFDM has been replaced by Wavelet bases Selective Mapping (SLM) is a popular technique towards PAPR reduction The primary function of the Cognitive Radio system is to identify the spectrum holes GRAPHICAL ABSTRACT

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Section: Qos In Cognitive Radiomentioning

confidence: 99%

Peak-to-Average Power Ratio reduction in Wavelet based OFDM using Modified Selective Mapping for Cognitive Radio Applications

Arjun¹,

Surekha²

2021

Walailak J Sci & Tech

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“…On the other hand, the implementation is quite complex and involves large power consumption. In addition, there is a need for precise information about certain waveform patterns of PU [12]. …”

Section: ) Matched Filtering (Mf)mentioning

confidence: 99%

Current Trends and Research Challenges in Spectrum-Sensing for Cognitive Radios

Garg¹,

Saluja²

2016

ijacsa

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Abstract-The ever increasing demand of wireless communication systems has led to search of suitable spectrum bands for transmission of data. The research in the past has revealed that radio spectrum is under-utilized in most of the scenarios. This prompted the scientist to seek a solution to utilize the spectrum efficiently. Cognitive Radios provided an answer to the problem by sensing the idle (licensed) bands and allowing (secondary) users to transmit in these idle spaces. Spectrum sensing forms the main block of cognition cycle.This paper reviews the current trends in research in the domain of spectrum sensing. The author describes the type of channel being modelled, diversity combining schemes used, optimal algorithms applied at fusion centre, spectrum sensing techniques employed. Further, the research challenges are discussed. It is presented that various attributes like sensing time, throughput, rate reliability, optimum cooperative users, sensing frequency etc. needs to be addressed. A trade-off needs to be established to optimize two opposing parameters like sensing and throughput.

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