Utilizing OFDM Guard Interval for Spectrum Sensing

Khambekar, Nilesh; Dong, Liang; Chaudhary, Vipin

doi:10.1109/wcnc.2007.13

Cited by 46 publications

(28 citation statements)

References 4 publications

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“…al., (2005), Ghozzi et. al., (2006, Khambekar et. al., (2007), they showed that cyclostationarity feature detection was a method for…”

Section: Review Of Work On Cyclostationary Feature Based Detectionmentioning

confidence: 99%

A review of cyclostationary feature detection based spectrum sensing technique in cognitive radio networks

Adigwe¹,

Okonkwo²

2016

EJSR

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In wireless communications, the transmitted signals show very strong cyclostationary features based on the modulation type, carrier frequency, and data rate, especially when excess bandwidth is utilized. Therefore, identifying the unique set of features of a particular radio signal for a given wireless access system can be used to detect the system based on the cyclostationary analysis at the cognitive radio node. Cyclostationary feature detection based technique has been proposed by many researchers as a key solution for detecting these signals. This paper therefore, took a detail review of the proposals from different authors and pointed out the challenges faced by this method and concluded that it cannot be used to achieve optimality when detecting the presence and absence of primary user. The paper also went further to analyze the principle and model for cyclostationary feature based detection method.

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“…al., (2005), Ghozzi et. al., (2006, Khambekar et. al., (2007), they showed that cyclostationarity feature detection was a method for…”

Section: Review Of Work On Cyclostationary Feature Based Detectionmentioning

confidence: 99%

A review of cyclostationary feature detection based spectrum sensing technique in cognitive radio networks

Adigwe¹,

Okonkwo²

2016

EJSR

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“…As our scheme mainly concentrates on regulating the PU's resource occupation pattern, and improving the sensing efficiency of the SU, it creates neither restrictions nor any influence on the PU's traffic profile, such as power of transmission, preambles, midambles and pilot patterns. Therefore, almost all existing spectrum sensing algorithms [29]- [33] can be adopted in our scheme without altering their implementation or their properties. The major contributions of this paper are as follows.…”

Section: Related Workmentioning

confidence: 99%

Improving the Cognitive Access Efficiency by Non-Uniform Bandwidth Allocation

Huang

Ephremides

Yuan

2015

IEEE Trans. Wireless Commun.

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Abstract-In cognitive communication, dynamic sensing and opportunistic access enable secondary users to recognize and utilize the white spaces of the licensed bandwidth. Most present efforts focus on designing smarter channel sensing and access algorithms for secondary users, with the aim of optimizing the overall throughput and bandwidth utilization efficiency, under the condition of not interfering with primary users' communication. However, as the transmissions of the primary users are inherently random and unpredictable, sensing and sharing spectrum with the primary users inevitably make the cognitive process of the secondary users complex and ineffective. In this paper, a non-uniform bandwidth allocation scheme is proposed that regularizes the primary users' bandwidth occupancy pattern. The regularization is not designed to reshape the primary users's traffic, but to improve the sensing efficiency and throughput of the secondary users by optimizing the spectrum allocation. After the description of the new allocation scheme, we demonstrate its performance by theoretic analysis. Then we verify the validity of the non-uniform scheme with numerical simulations under non-fading and fading situations respectively. Through comparisons with the conventional uniform bandwidth allocation scheme, the nonuniform one shows higher sensing efficiency and better spectrum utilization due to lower sensing cost and reduced bandwidth loss.

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“…A channel that is being used by secondary users cannot be used for sensing. Hence, secondary users have to stop data transmission for spectrum sensing [27]. This however, decreases the spectrum efficiency of the overall system [23].…”

Section: Sensing Duration and Frequencymentioning

confidence: 99%

Spectrum Sensing Methodologies for Cognitive Radio Systems: A Review

Igbinosa¹,

Oyerinde²,

Srivastava³

et al. 2015

ijacsa

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Abstract-Spectrum sensing is an important functional unit of the cognitive radio networks. The spectrum sensing is one of the main challenges encountered by cognitive radio. This paper presents a survey of spectrum sensing techniques and they are studied from a cognitive radio perspective. The challenges that go with spectrum sensing are reviewed. Two sensing schemes, namely; cooperative sensing and eigenvalue-based sensing are studied. The various advantages and disadvantages are highlighted. Based on this study, the cooperative spectrum sensing is proposed for employment in spectrum sensing in wideband based cognitive radio systems.

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Utilizing OFDM Guard Interval for Spectrum Sensing

Cited by 46 publications

References 4 publications

A review of cyclostationary feature detection based spectrum sensing technique in cognitive radio networks

A review of cyclostationary feature detection based spectrum sensing technique in cognitive radio networks

Improving the Cognitive Access Efficiency by Non-Uniform Bandwidth Allocation

Spectrum Sensing Methodologies for Cognitive Radio Systems: A Review

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