Optimization of SU's probability of false alarm for dynamic spectrum access in cognitive radio

Aulakh, Inderdeep Kaur; Vig, Renu

doi:10.1109/indiacom.2014.6828053

Cited by 10 publications

(4 citation statements)

References 17 publications

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“… Reliability: Refers to the performance of the network in completing and starting sessions, as in [93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108][109].…”

Section: Qos Objectivesmentioning

confidence: 99%

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Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

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Much interest in Cognitive Radio Networks (CRNs) has been raised recently by enabling unlicensed (secondary) users to utilize the unused portions of the licensed spectrum. CRN utilization of residual spectrum bands of Primary (licensed) Networks (PNs) must avoid harmful interference to the users of PNs and other overlapping CRNs. The coexisting of CRNs depends on four components: Spectrum Sensing, Spectrum Decision, Spectrum Sharing, and Spectrum Mobility. Various approaches have been proposed to improve Quality of Service (QoS) provisioning in CRNs within fluctuating spectrum availability. However, CRN implementation poses many technical challenges due to sporadic usage of licensed spectrum bands, which will be increased after deploying CRNs. Unlike traditional surveys of CRNs, this paper addresses QoS provisioning approaches of CRN components and provides an up-to-date comprehensive survey of recent improvement in these approaches. Major features of the open research challenges of each approach are investigated. Due to the extensive nature of the topic, this paper is the first part of the survey which investigates QoS approaches on spectrum sensing and decision components respectively. The remaining approaches of spectrum sharing and mobility components will be investigated in the next part.

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“… Reliability: Refers to the performance of the network in completing and starting sessions, as in [93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108][109].…”

Section: Qos Objectivesmentioning

confidence: 99%

“…Traditionally, SU exploits a spectrum sensor of energy or features of IU to determine whether the channels are occupied or not [96]. In ED, the decision threshold λ that distinguishes a channel's status is very important, and this parameter is configured by the system designer.…”

Section: Threshold Settingmentioning

confidence: 99%

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

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“…In [11], Unlicensed User throughput is optimized at the same time as safeguarding Licensed User interests and as well as Secondary User's utility is maximized using simulation.…”

Section: Or Decision Operationmentioning

confidence: 99%

A review on energy based spectrum sensing in Cognitive Radio Networks

Malhotra

Aulakh

Vig

2015

2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE)

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Cognitive Radio Networks is considered as the solution to the problem of limited bandwidth which arises in the wireless networks. Spectrum sensing is an important issue of CRNs. Spectrum sensing involves the sensing of the licensed user signal, then allowing the unlicensed user to use the free spectrum band in the network. The energy based spectrum sensing techniques in CRNs become important in battery oriented applications. This paper focuses on some existing researches on energy based spectrum sensing. Many factors which play an important role in the sensing process have also been explained.

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“…The effect of Probability of false alarm and cost of collision has been considered in (Aulakh and Vig, 2014b). The effect of length of SU sensing time and cost of collision on optimal threshold for sensing-transmission structure has not been fine tuned.…”

Section: Related Workmentioning

confidence: 99%

Secondary User Sensing Time Optimization in Sensing-Transmission Scheduling for Dynamic Spectrum Access in Cognitive Radio

Aulakh¹,

Vig²

2015

Journal of Computer Science

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The constraint of limited frequency spectrum for wireless communication is very daunting. The radio spectrum licensed to permanent users is wasted at times when not used continuously. Cognitive radio technology involves a change in regulation of radio spectrum. In cognitive radio networks a secondary user network is designed for efficiently using gaps in spectrum and not causing at the same time harmful interference to license holding primary users. Opportunistic spectrum access involves the sensing of white spaces in the transmissions of Primary Users and their utilization by Secondary Users. There is a continuous tradeoff between the opposing goals of Primary User transmission protection and Secondary User throughput maximization. For a Secondary User, sensing is important so as to avoid collisions, hence packet loss. At the same time being too cautious and having long sensing periods can be costly. This paper presents optimization of Secondary User sensing time in sensing-transmission scheduling for dynamically accessing the spectrum in cognitive radios. The need to maximize the Secondary User access is achieved by optimizing its sensing time with respect to collision cost in a threshold based sensingtransmission structure using simulations. The results are presented in the form of traces of thresholds for different sensing times and collision costs. This scheme optimizes Secondary User throughput while safeguarding Primary User interests. This defines a standard to give an insight into the design of sensing-transmission scheduling in cognitive radio networks.

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Optimization of SU's probability of false alarm for dynamic spectrum access in cognitive radio

Cited by 10 publications

References 17 publications

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

A review on energy based spectrum sensing in Cognitive Radio Networks

Secondary User Sensing Time Optimization in Sensing-Transmission Scheduling for Dynamic Spectrum Access in Cognitive Radio

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