Sensing-Throughput Tradeoff in Cognitive Radio Networks: How Frequently Should Spectrum Sensing be Carried Out?

Pei, Yiyang; Hoang, Anh Tuan; Liang, Ying-Chang

doi:10.1109/pimrc.2007.4394632

Cited by 156 publications

(128 citation statements)

References 5 publications

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“…The accuracy of spectrum sensing algorithm in TVWS is measured in [42] and collected signal traces from a large area to be added in the database. The optimal size of CR-generated frames can be determined by approximating the optimal tradeoff between throughput and number of packet collisions [43]. Ref [44] suggested that available spectrum can be efficiently utilized by reducing the time taken by the first step in CR communication i.e.…”

Section: B Cognitive Radio Networkmentioning

confidence: 99%

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

Bukhari

Rehmani

Siraj

2016

IEEE Commun. Surv. Tutorials

126

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Abstract-Channel bonding (CB) is a proven technique to increase bandwidth and reduce delays in wireless networks. It has been applied in traditional wireless networks such as cellular networks and wireless local area networks along with the emerging cognitive radio networks. This paper first focuses on providing a survey of CB schemes for traditional wireless networks such as cellular networks, wireless local area networks and wireless sensor networks, and then provides a detailed discussion on the CB schemes proposed for cognitive radio networks. Finally, we highlight a number of issues and challenges regarding CB in cognitive radio sensor networks and also provide some guidelines on using CB schemes in these futuristic networks.

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Section: B Cognitive Radio Networkmentioning

confidence: 99%

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

Bukhari

Rehmani

Siraj

2016

IEEE Commun. Surv. Tutorials

126

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“…Typically, the SU operates spectrum sensing frame by frame, and each frame is divided into two parts: the sensing duration and the data duration [3][4][5]. The SU detects whether the licensed spectrum is accessed within the sensing duration, and then transmits *Correspondence: liyouming@nbu.edu.cn 1 College of Information Science and Engineering, Ningbo University, Ningbo, China Full list of author information is available at the end of the article data within the data duration if the sensing result is OFF (which identifies that the PU's state is OFF); otherwise, the SU keeps silent.…”

Section: Introductionmentioning

confidence: 99%

An inter-frame dynamic double-threshold energy detection for spectrum sensing in cognitive radios

et al. 2017

J Wireless Com Network

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This paper proposes an inter-frame dynamic double threshold (IF-DDT) spectrum sensing algorithm in order to improve the sensing performance based on energy detection (ED) in cognitive radios (CRs). Based on both the activity model of the primary user (PU) and the sensing mechanism of the secondary user (SU), the proposed algorithm exploits the relationship between two adjacent sensing frames and designs dynamic double thresholds for each sensing frame to enhance spectrum sensing performance when the received energy cannot give a reliable local decision. The detection probability and false alarm probability of the proposed sensing scheme are analyzed, and an algorithm for searching the optimal dynamic double thresholds is derived with very low complexity according to the Neyman-Pearson (NP) test criterion. Theoretical analysis and simulation results show that the proposed algorithm outperforms the ED algorithm.

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“…Thus, the effect of sensing interval on the interference that primary users experience is not considered. To the best of the authors' knowledge, this effect is firstly considered in [6]. The authors investigated that a longer sensing interval results in more collisions between secondary and primary users.…”

Section: Introductionmentioning

confidence: 99%

Time-constrained detection probability and sensing parameter optimization in cognitive radio networks

Choi

Yoo

2013

J Wireless Com Network

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Sensing-throughput tradeoff has widely been investigated in cognitive radio networks. Detection probability and interference ratio are usually considered the main constraints to the protection of primary signals. However, the detection probability defined during a sensing duration does not fully capture the goal of primary protection because two important factors are not taken into consideration. Neither the detection latency during the detection of the primary signal nor the unavoidable misdetection of the primary signal due to its ability to only occupy the channel between two consecutive sensing durations are considered. Motivated by these problems, we propose a new detection probability called the time-constrained detection probability (TDP) and investigate the effect of the sensing interval on the TDP. This sensing interval consists of a sensing duration and a transmission duration. Moreover, both an optimal sensing duration and an optimal sensing interval are proposed, which not only satisfy both the TDP and the interference ratio constraints for primary protection, but also maximize the achievable throughput for secondary users. Numerical analyses show the relationship between the sensing interval and the TDP and the optimal sensing parameters consisting of the optimal sensing duration and the optimal sensing interval.

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Sensing-Throughput Tradeoff in Cognitive Radio Networks: How Frequently Should Spectrum Sensing be Carried Out?

Cited by 156 publications

References 5 publications

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

An inter-frame dynamic double-threshold energy detection for spectrum sensing in cognitive radios

Time-constrained detection probability and sensing parameter optimization in cognitive radio networks

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