Cognitive Relaying with Frequency Incentive

Nadkar, Taskeen; Thumar, Vinay; Shenoy, Gautam; Desai, U.B.; Merchant, S. N.

doi:10.1109/glocom.2011.6134292

Cited by 3 publications

(6 citation statements)

References 6 publications

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“…In our previous work, we have formulated a cross-layer design to enable the SCR scheme, called Cognitive Relaying with Time Incentive (CRTI), for an Orthogonal Frequency Division Multiplexing-(OFDM-) based multi-hop CR network, with special emphasis on the MAC layer coordination protocol [13]. We have also proposed that it is possible to reward the SUs with incentive frequency bands, that is, Cognitive Relaying with Frequency Incentive (CRFI) [12,14]. Some unique challenges are faced when the SCR scheme is enabled on the spectra of multiple PUs; we have addressed these in prior work as well [15,16].…”

Section: Symbiotic Cooperativementioning

confidence: 99%

“…All of the aforementioned works in the literature have considered either a singlerelay node or single-channel CR networks. The authors have also contributed significantly towards SCR schemes for multichannel multi-hop networks [12][13][14][15][16]. The crosslayer formulations in this work are inspired by those of Shi and Hou [20], Zhang et al [21], and some references therein.…”

Section: Related Literaturementioning

confidence: 99%

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The SS-SCR Scheme for Dynamic Spectrum Access

Thumar

Nadkar²,

Desai³

et al. 2012

Journal of Computer Networks and Communications

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We integrate the two models ofCognitive Radio (CR), namely, the conventionalSense-and-Scavenge (SS) Model and Symbiotic Cooperative Relaying (SCR). The resultant scheme, calledSS-SCR, improves the efficiency of spectrum usage and reliability of the transmission links.SS-SCRis enabled by a suitable cross-layer optimization problem in a multihop multichannel CR network. Its performance is compared for different PU activity patterns with those schemes which considerSSandSCRseparately and perform disjoint resource allocation. Simulation results depict the effectiveness of the proposedSS-SCRscheme. We also indicate the usefulness of cloud computing for a practical deployment of the scheme.

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Section: Symbiotic Cooperativementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

The SS-SCR Scheme for Dynamic Spectrum Access

Thumar

Nadkar²,

Desai³

et al. 2012

Journal of Computer Networks and Communications

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“…A linear relaxation of the log term by the use of tangential supports [9] will drastically simplify the formulation and will provide an upper bound to the original problem solution. Also, a feasible sub-optimum solution can be obtained by decoupling the operations of power allocation and band scheduling, and that of flow computation, as follows: …”

Section: Brrmentioning

confidence: 99%

“…All of the aforementioned works in literature have considered either a single relay node or single channel CR networks. The authors have also contributed significantly towards SCR paradigms for multi-channel multihop networks [7][8][9][10][11], the details of which are provided in (1) section.…”

Section: Scr For Crmentioning

confidence: 99%

“…The authors have previously formulated a cross-layer design to enable the SCR scheme called cognitive relaying with time incentive (CRTI), for an orthogonal frequency division multiplexing (OFDM)-based multi-hop CR network [8]. The authors have also proposed that it is possible to reward the SUs with incentive frequency bands, i.e., cognitive relaying with frequency incentive [7,9]. While all of the aforementioned works focus on providing centralized solutions to the schemes for a single PU scenario, the main concern of this article is to address a multiple PU model and propose distributed algorithms for the same.…”

Section: Introductionmentioning

confidence: 99%

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Distributed execution of cognitive relaying with time incentive: multiple PU scenario

Nadkar

Thumar

Desai

et al. 2012

J Wireless Com Network

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The prime focus of this study is in developing distributed algorithms for cognitive relaying with time incentive for multiple primary users (CRTI-M). CRTI-M is a symbiotic paradigm in which the incumbent primary users (PUs) of the spectrum, with weak transmission links, seek cooperation from the cognitive secondary user (SU) nodes in their vicinity, and in return reward them with an incentive time for the latter's own communication. When relaying through the SU network, each PU can either use its own spectrum or that of the other PUs. Cross-layer optimization problems are formulated to enable both these possibilities in a multi-hop multi-channel cognitive radio network with the objective of maximizing the cumulative time incentive for the SUs. Corresponding distributed algorithms are developed, which face the challenge of meeting the constraints of the formulated problems with only local information and the lack of a centralized controller. Further, to make the CRTI-M schemes practically realizable, a MAC scheduling protocol is suggested, which gives emphasis to the distributed implementation and provides a unified framework for the PUs and SUs. Simulation results are furnished to demonstrate the effectiveness of the proposed algorithms.

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