Tuning radio resource in an overlay cognitive radio network for TCP: Greed isn't good

Issariyakul, Teerawat; Pillutla, Laxminarayana S.; Krishnamurthy, Vikram

doi:10.1109/mcom.2009.5183473

Cited by 36 publications

(29 citation statements)

References 8 publications

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“…is the traffic load factor which is defined as the amount of the traffic that each PU generates on the respective channel [21]; as mentioned in last section, α 1 and α 0 are the mean of the occupied and the idle durations of PUs traffic loads, respectively. Similarly, for any sensing instant, the probability that the SU senses at least one free channel and is allowed to access one of them, is given by…”

Section: A Throughput Of Su With Perfect Spectrum Sensingmentioning

confidence: 99%

Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing

et al. 2012

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In cognitive radio networks, the licensed frequency bands of the primary users (PUs) are available to the secondary user (SU) provided that they do not cause significant interference to the PUs. In this paper, we analyzed the normalized throughput of the SU with multiple PUs coexisting under any Frequency Division Multiple Access (FDMA) communication protocol. We consider a cognitive radio transmission where the frame structure consists of sensing and data transmission slots. In order to achieve the maximum normalized throughput of the SU and control the interference level to the legal PUs, the optimal frame length of the SU is found via simulation. In this context, a new analytical formula has been expressed for the achievable normalized throughput of SU with multiple PUs under prefect and imperfect spectrum sensing scenarios. Moreover, the impact of imperfect sensing, variable frame length of SU and the variable PU traffic loads, on the normalized throughput has been critically investigated. It has been shown that the analytical and simulation results are in perfect agreement. Our analytical results are much useful to determine how to select the frame duration length subject to the parameters of cognitive radio network such as network traffic load, achievable sensing accuracy and number of coexisting PUs.

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Section: A Throughput Of Su With Perfect Spectrum Sensingmentioning

confidence: 99%

Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing

et al. 2012

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“…Issariyakul et al [2] studied the performance degradation of a transmission control protocol (TCP) in overlay CRNs (In overlay CRNs, SUs can access the portion of the spectrum that is not used by any PUs. As a result, there is virtually no interference with the PUs.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Implementation of a Cross-Layer Approach for Improving TCP Performance over Cognitive Radio Networks

2015

J Inf Process Syst

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In cognitive radio networks (CRNs), the performance of the transmission control protocol (TCP) at the secondary user (SU) severely drops due to the mistrigger of congestion control. A long disruption is caused by the transmission of primary user, leading to the mistrigger. In this paper, we propose a cross-layer approach, called a CR-aware scheme that enhances TCP performance at the SU. The scheme is a sender side addition to the standard TCP (i.e., TCP-NewReno), and utilizes an explicit cross-layer signal delivered from a physical (or link) layer and the signal gives an indication of detecting the primary transmission (i.e., transmission of the primary user). We evaluated our scheme by implementing it onto a software radio platform, the Universal Software Radio Peripheral (USRP), where many parts of lower layer operations (i.e., operations in a link or physical layer) run as user processes. In our implementation, we ran our CR-aware scheme over IEEE 802.15.4. Furthermore, for the purpose of comparison, we implemented a selective ACK-based local recovery scheme that helps TCP isolate congestive loss from a random loss in a wireless section.

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“…The interweave model is the one predominantly studied in the literature, and the de facto standard for CRNs. Note that some researchers classify the transmission modes for CRNs into two paradigms: overlay and underlay mode [5,6]. To the best of our knowledge, majority of the research efforts in transport layer protocols for CRNs focus on interweave/overlay model, i.e., in CRNs, the SUs can opportunistically exploit frequency bands when the PUs do not occupy the bands.…”

Section: Introductionmentioning

confidence: 99%

“…This is due to the basic principle that the PUs have the exclusive priority to occupy the channel. Thus, we adopt the categories in [5,6] throughout this paper.…”

Section: Introductionmentioning

confidence: 99%

“…It is well-known that TCP has a degraded throughput under wireless systems especially with a high packet loss rate because TCP assumes all packet loss is due to congestion and triggers rate reduction whenever packet loss is detected. In CRNs, there is a new loss-service interruption loss [5], due to the existence of PUs. These features will cause packet losses and timeouts which are mistakenly categorized as congestion losses by TCP.…”

Section: Introductionmentioning

confidence: 99%

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Transport Protocols in Cognitive Radio Networks: A Survey

2014

KSII TIIS

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Cognitive radio networks (CRNs) have emerged as a promising solution to enhance spectrum utilization by using unused or less used spectrum in radio environments. The basic idea of CRNs is to allow secondary users (SUs) access to licensed spectrum, under the condition that the interference perceived by the primary users (PUs) is minimal. In CRNs, the channel availability is uncertainty due to the existence of PUs, resulting in intermittent communication. Transmission control protocol (TCP) performance may significantly degrade in such conditions. To address the challenges, some transport protocols have been proposed for reliable transmission in CRNs. In this paper we survey the state-of-the-art transport protocols for CRNs. We firstly highlight the unique aspects of CRNs, and describe the challenges of transport protocols in terms of PU behavior, spectrum sensing, spectrum changing and TCP mechanism itself over CRNs. Then, we provide a summary and comparison of existing transport protocols for CRNs. Finally, we discuss several open issues and research challenges. To the best of our knowledge, our work is the first survey on transport protocols for CRNs.

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Tuning radio resource in an overlay cognitive radio network for TCP: Greed isn't good

Cited by 36 publications

References 8 publications

Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing

Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing

An Experimental Implementation of a Cross-Layer Approach for Improving TCP Performance over Cognitive Radio Networks

Transport Protocols in Cognitive Radio Networks: A Survey

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