Network capacity of cognitive radio relay network

Huang, Chu-Hsiang; Lai, Yen-Chieh; Chen, Kwang-Cheng

doi:10.1016/j.phycom.2008.06.001

Cited by 18 publications

(7 citation statements)

References 15 publications

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“…Different cooperative techniques for improving spectrum sensing performance are discussed in [9]- [15]. Further, spectrum access has also received considerable attention [16]- [23]. In [16], a dynamic programming approach is proposed to allow the SUs to maximize their channel access times while taking into account a penalty factor from any collision with the PU.…”

Section: A Existing Work On Spectrum Sensing and Accessmentioning

confidence: 99%

Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks

Saad

Han

Zheng

et al. 2012

IEEE J. Sel. Top. Signal Process.

110

115

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Unlicensed secondary users (SUs) in cognitive radio networks are subject to an inherent tradeoff between spectrum sensing and spectrum access. Although each SU has an incentive to sense the primary user (PU) channels for locating spectrum holes, this exploration of the spectrum can come at the expense of a shorter transmission time, and, hence, a possibly smaller capacity for data transmission. This paper investigates the impact of this tradeoff on the cooperative strategies of a network of SUs that seek to cooperate in order to improve their view of the spectrum (sensing), reduce the possibility of interference among each other, and improve their transmission capacity (access). The problem is modeled as a coalitional game in partition form and an algorithm for coalition formation is proposed. Using the proposed algorithm, the SUs can make individual distributed decisions to join or leave a coalition while maximizing their utilities which capture the average time spent for sensing as well as the capacity achieved while accessing the spectrum. It is shown that, by using the proposed algorithm, the SUs can self-organize into a network partition composed of disjoint coalitions, with the members of each coalition cooperating to jointly optimize their sensing and access performance.Simulation results show the performance improvement that the proposed algorithm yields with respect to the noncooperative case. The results also show how the algorithm allows the SUs to self-adapt to changes in the environment such as the change in the traffic of the PUs, or slow mobility.

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Section: A Existing Work On Spectrum Sensing and Accessmentioning

confidence: 99%

Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks

Saad

Han

Zheng

et al. 2012

IEEE J. Sel. Top. Signal Process.

110

115

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show abstract

“…• CRRN (described in Reference [3]). Routing in CRN thus has another hidden agenda based on above segmentation or decomposition.…”

Section: Table Update Phasementioning

confidence: 99%

“…• Under relatively light traffic load that is suggested by the high availability (or probability) of link connection, the routing delay (i.e., delay caused by routing in opportunistic link availability) has smooth distribution as expected to demonstrate the effective routing capability, as Reference [3] implies CRN supporting significant network level throughput gain at lighter traffic load in PS. However, for low link availability, routing in CRN would be in troubles.…”

Section: Independent Opportunistic Linksmentioning

confidence: 99%

“…The network coding study of cognitive radio relay networks (CRRNs) has shown that networking CRs with the help of cooperative relay by PS nodes can significantly improve network level throughput (than just link level efficiency) by 130% under the constraint of no interference to PS traffic [3], in average for randomly generated network topology. However, by networking CRs with nodes in co-existing multi-radio systems, network layer functions of CRN emerge as open problems due to their nature of heterogeneous wireless networks, although they have been heavily investigated in wireless network research.…”

Section: Introductionmentioning

confidence: 99%

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Routing for cognitive radio networks consisting of opportunistic links

Chen

Çetin

Peng

et al. 2009

Wireless Communications

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Cognitive radio (CR) has been considered a key technology to enhance overall spectrum utilization by opportunistic transmissions in CR transmitter-receiver link(s). However, CRs must form a cognitive radio network (CRN) so that the messages can be forwarded from source to destination, on top of a number of opportunistic links from co-existing multi-radio systems. Unfortunately, appropriate routing in CRN of coexisting multi-radio systems remains an open problem. We explore the fundamental behaviors of CR links to conclude three major challenges, and thus decompose general CRN into cognitive radio relay network (CRRN), CR uplink relay network, CR downlink relay network, and tunneling (or core) network. Due to extremely dynamic nature of CR links, traditional routing to maintain end-to-end routing table for ad hoc networks is not feasible. We locally build up one-step forward table at each CR to proceed based on spectrum sensing to determine trend of paths from source to destination, while primary systems (PSs) follow original ways to forward packets like tunneling. From simulations over ad hoc with infrastructure network topology and random network topology, we demonstrate such simple routing concept known as CRN local on-demand (CLOD) routing to be realistic at reasonable routing delay to route packets through.primary system (PS) [1], has been considered as a key technology toward future wireless communications to enhance spectrum utilization efficiency. The CR concept can be generalized to cooperative co-existing multi-radio systems if the terminal devices are ROUTING FOR CRN 457 Control of CRN Flow Control of CRNFlow control can happen in two types in CRN: First of all, end-to-end flow control between CR source node and CR destination node, while a typical credit-based flow control such as leaky-bucket can does the work. However, for completely successful operation of CRN on-demand routing protocols, such as CRN-ODV or CRN-DSR, we need another function, flow control in CRN network layer. Different from conventional firsttype flow control in computer networks, flow control

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“…In [16] - [23], the authors have put forward the cooperative diversity to implement virtual multiple antennas through the cooperation between the source and the relay nodes, which combines the advantages of the relay and diversity techniques. More recently, in [28], [29], the cooperative relay technology has also been explored at the medium access control (MAC) and higher layers to improve the system throughput of cognitive radio networks.…”

mentioning

confidence: 99%

Outage Probability Analysis of Cognitive Transmissions: Impact of Spectrum Sensing Overhead

Zou

Yao

Zheng

2010

IEEE Trans. Wireless Commun.

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Abstract-In cognitive radio networks, a cognitive source node requires two essential phases to complete a cognitive transmission process: the phase of spectrum sensing with a certain time duration (also referred to as spectrum sensing overhead) to detect a spectrum hole and the phase of data transmission through the detected spectrum hole. In this paper, we focus on the outage probability analysis of cognitive transmissions by considering the two phases jointly to examine the impact of spectrum sensing overhead on system performance. A closed-form expression of an overall outage probability that accounts for both the probability of no spectrum hole detected and the probability of a channel outage is derived for cognitive transmissions over Rayleigh fading channels. We further conduct an asymptotic outage analysis in high signal-to-noise ratio regions and obtain an optimal spectrum sensing overhead solution to minimize the asymptotic outage probability. Besides, numerical results show that a minimized overall outage probability can be achieved through a tradeoff in determining the time durations for the spectrum hole detection and data transmission phases. In this paper, we also investigate the use of cognitive relay to improve the outage performance of cognitive transmissions. We show that a significant improvement is achieved by the proposed cognitive relay scheme in terms of the overall outage probability.Index Terms-Cognitive radio, spectrum sensing, overhead, cognitive relay transmission, outage probability.

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Network capacity of cognitive radio relay network

Cited by 18 publications

References 15 publications

Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks

Coalitional Games in Partition Form for Joint Spectrum Sensing and Access in Cognitive Radio Networks

Routing for cognitive radio networks consisting of opportunistic links

Outage Probability Analysis of Cognitive Transmissions: Impact of Spectrum Sensing Overhead

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