Link Maintenance Protocol for Cognitive Radio System with OFDM PHY

Shi, Qicai; Taubenheim, D.; Kyperountas, S.; Gorday, Paul; Correal, N.S.

doi:10.1109/dyspan.2007.63

Cited by 29 publications

(12 citation statements)

References 6 publications

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“…There have been some publications on this area. Huang and Hwang and Shi et al [24,25] focus on the research topics at PHY layer, while Hwang and Chen [26] investigate the sensing techniques. For resource allocation, [27] considers downlink resource allocation based on OFDM channel identification.…”

Section: Introductionmentioning

confidence: 99%

An uplink resource allocation scheme for OFDMA‐based cognitive radio networks

Wang

et al. 2008

Int J Communication

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SUMMARYCognitive radio makes it possible for an unlicensed user to access a spectrum unoccupied by licensed users. In cognitive radio networks, extra constraints on interference temperature need to be introduced into radio resource allocation. In this paper, the uplink radio resource allocation is investigated for OFDMAbased cognitive radio networks. In consideration of the characteristics of cognitive radio and OFDMA, an improved water-filling power allocation scheme is proposed under the interference temperature constraints for optimal performance. Based on the improved water-filling power allocation, a simple subcarrier allocation algorithm for uplink is proposed. The subcarrier allocation rules are obtained by theoretical deduction. In the uplink subcarrier allocation algorithm, the subcarriers are allocated to the users with the best channel quality initially and then adjusted to improve the system performance. A cursory water-filling level estimation method is used to decrease the complexity of the algorithm. Asymptotic performance analysis gives a lower bound of the stability of the water-filling level estimation. The complexity and performance of the proposed radio resource allocation scheme are investigated by theoretical analysis and numerical results.

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Section: Introductionmentioning

confidence: 99%

An uplink resource allocation scheme for OFDMA‐based cognitive radio networks

Wang

et al. 2008

Int J Communication

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“…• In case of proactive decision handoff [8][9][10][11][12], the channels to be used for future handoffs are decided before actual data transmission takes place. The SU senses the wideband spectrum periodically for detection of idle channels so that expected usage pattern of the wideband spectrum over longer period is generated.…”

Section: Introductionmentioning

confidence: 99%

Novel Hybrid Spectrum Handoff for Cognitive Radio Networks

Lala¹,

Uddin²,

Sheikhc³

2013

IJWMT

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Abstrac tCognitive radio (CR) is pro jected as a technology (or solution) that will raise the spectrum utilizat ion considerably by allowing low-priority or secondary user (SU) to utilize the spectrum of high-priority or primary user (PU) opportunistically. Spectru m handoff is a different type of handoff necessitated by the reappearance of the primary user on the frequency channels occupied by the secondary user at that time and location. In this paper, a hybrid type of spectrum handoff algorith m is proposed where proactive decision and reactive decision approaches are combined. Depending on the arrival rate o f primary user (i.e. PU activ ity), the algorith m switches fro m reactive decision mode to proactive decision mode and vice versa. The switching fro m one mode to another mode depends on threshold value of PU activity and we evaluated the threshold value through analysis for switching of the algorithm to be 0.37. Simu lated results show that the proposed hybrid spectrum handoff algorith m reduces the total service t ime of secondary user considerably compared to conventional proactive decision or reactive decision handoff approaches.

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“…For the analysis of spectrum handoff, two approaches were adopted in research literature depending on the timing of the selection of the channels to be used at the time of handoff. The first approach is the proactive-decision approach [22][23][24][25] in which the channels to be used for future handoff is decided before actual handoff. The channel selection is based on the use of prediction techniques.…”

Section: Handoff Issues In Cognitive Radio Networkmentioning

confidence: 99%

Spectrum Handoff in Cognitive Radio Networks: A Survey

Lala

Balkhi

Mir

2017

Orient. J. Comp. Sci. and Technol

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Cognitive radio (CR) is a promising solution to improve the spectrum utilization by enabling unlicensed users to exploit the spectrum in an opportunistic manner. Spectrum handoff is a different type of handoff in CR necessitated by the reappearance of primary user (PU) in the licensed band presently occupied by the secondary users (SUs). Spectrum handoff procedures aim to help the SUs to vacate the occupied licensed spectrum and find suitable target channel to resume the unfinished transmission. The purpose of spectrum mobility management in cognitive radio networks is to make sure that the transitions are made smoothly and rapidly such that the applications running on a cognitive user perceive minimum performance degradation during a spectrum handoff. In this paper, we will survey the literature on spectrum handoff in cognitive radio networks.

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Link Maintenance Protocol for Cognitive Radio System with OFDM PHY

Cited by 29 publications

References 6 publications

An uplink resource allocation scheme for OFDMA‐based cognitive radio networks

An uplink resource allocation scheme for OFDMA‐based cognitive radio networks

Novel Hybrid Spectrum Handoff for Cognitive Radio Networks

Spectrum Handoff in Cognitive Radio Networks: A Survey

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