Joint Power and Channel Allocation for Cognitive Radios

Digham, F.F.

doi:10.1109/wcnc.2008.161

Cited by 101 publications

(74 citation statements)

References 6 publications

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“…It was reported that some parts of the allocated spectrum at some locations were unused most of the time [1]. The scarcity of spectrum and need for efficient usage prompted research aimed at finding some other, more flexible, way of spectrum use, which has led to the development of a cognitive radio concept [2].…”

mentioning

confidence: 99%

A cognitive radio based solution to coexistence of FH and OFDM signals implemented on USRP N210 platform

Janjic

Moulines²

2017

Telfor

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A cognitive radio based solution to coexistence of FH and OFDM signals implemented on USRP N210 platform

Janjic

Moulines²

2017

Telfor

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“…If the base station for the PUs transmits with power P T at a distance of d B,i from the ith PU and there is one CR on the same channel n, the received SINR at the ith PU should be above a threshold [5] …”

Section: Formulation Of Dynamic Spectrum Accessmentioning

confidence: 99%

“…In order to solve it using nonlinear programming, one can convert the discrete variable c n,k ∈ {0, 1} into a continuous variable. In [5], c n,k is treated as a continuous variable in the interval [0, 1], and quantize the final result to 0 or 1. This result is suboptimal, since c n,k 's usually stay in the middle way of the interval.…”

Section: Solving Using Karush-kuhn-tucker Theoremmentioning

confidence: 99%

“…A simple iterative distributed power control algorithm that achieves the optimal power allocation is given in [7]. In [5], a near optimal scheme with linear complexity is given for jointly allocating channels and power levels among CRs. The proposed iterative water-filling scheme maximizes the sum capacity subject to individual constraints on users' power budgets.…”

Section: Introductionmentioning

confidence: 99%

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A dynamic spectrum access scheme for cognitive radio networks

Swamy

Ni³

2009

2009 Canadian Conference on Electrical and Computer Engineering

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Abstract-In this paper, the dynamic spectrum access problem for cognitive radio (CR) networks is formulated as maximizing the sum channel capacity while satisfying the power budgets of individual secondary user radios as well as the SINR constraints on both the secondary and primary users. By applying the Karush-Kuhn-Tucker theorem, we derive a waterfilling soluton. An iterative water-filling algorithm is proposed for implementing joint channel and power allocation in a dynamically changing set of available channels. The proposed algorithm has a complexity that increases linearly with both the number of channels and the number of users.

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“…Optimal and suboptimal algorithms are implemented based on sum capacity maximization while satisfying the minimum required data rate constraint for each user. In [30], optimal joint power and channel allocation strategies are investigated for cognitive radio systems. A near optimal algorithm is presented for the total sum capacity maximization of power-limited secondary users in a centralized cognitive radio network.…”

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confidence: 99%

Optimal Channel Switching Strategy for Average Capacity Maximization

Sezer

Gezici

İnaltekin

2015

IEEE Trans. Commun.

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Abstract-In this study, an optimal channel switching strategy is proposed for average capacity maximization in the presence of average and peak power constraints. Necessary and sufficient conditions are derived to determine when the proposed optimal channel switching strategy can or cannot outperform the optimal single channel strategy, which performs no channel switching. Also, it is obtained that the optimal channel switching strategy can be realized by channel switching between, at most, two different channels. In addition, a low-complexity optimization problem is derived to obtain the optimal channel switching strategy. Furthermore, based on some necessary conditions that need to be satisfied by the optimal channel switching solution, an alternative approach is proposed for calculating the optimal channel switching strategy. Numerical examples are provided to exemplify the derived theoretical results and to provide intuitive explanations.

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Joint Power and Channel Allocation for Cognitive Radios

Cited by 101 publications

References 6 publications

A cognitive radio based solution to coexistence of FH and OFDM signals implemented on USRP N210 platform

A cognitive radio based solution to coexistence of FH and OFDM signals implemented on USRP N210 platform

A dynamic spectrum access scheme for cognitive radio networks

Optimal Channel Switching Strategy for Average Capacity Maximization

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