Robust Transmit Power Control for Cognitive Radio

Setoodeh, Peyman; Haykin, S.

doi:10.1109/jproc.2009.2015718

Cited by 175 publications

(127 citation statements)

References 42 publications

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“…The investigation of suitable methods in order to provide robustness against channel/interference uncertainty has recently received a lot of attention, especially in the following two contexts: (i) robust power control for Single Input Single Output (SISO) CR networks [149], [153], [156], [157], and (ii) robust beamforming for MIMO or Multiple Input Single Output (MISO) CR networks [152], [154], [155], [162]. We describe important design issues for these scenarios below.…”

Section: ) Theoretical Model Based Estimation: Some Existingmentioning

confidence: 99%

“…This problem has been widely studied in the literature in various settings [149], [153], [156], [157]. This can be basically formulated as the maximization of the SUs' social utility subject to three constraints, namely, a given PU interference threshold, the SUs' minimum requested SINR, and the SUs' upper bound on their transmit power levels.…”

Section: ) Robust Power Control For Siso Cr Networkmentioning

confidence: 99%

See 1 more Smart Citation

Cognitive Radio Techniques Under Practical Imperfections: A Survey

Sharma

Bogale

Chatzinotas

et al. 2015

IEEE Commun. Surv. Tutorials

197

111

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Abstract-Cognitive Radio (CR) has been considered as a potential candidate for addressing the spectrum scarcity problem of future wireless networks. Since its conception, several researchers, academic institutions, industries, regulatory and standardization bodies have put their significant efforts towards the realization of CR technology. However, as this technology adapts its transmission based on the surrounding radio environment, several practical issues may need to be considered. In practice, several imperfections such as noise uncertainty, channel/interference uncertainty, transceiver hardware imperfections, signal uncertainty, synchronization issues, etc. may severely deteriorate the performance of a CR system. To this end, the investigation of realistic solutions towards combating various practical imperfections is very important for successful implementation of the cognitive technology. In this direction, first, this survey paper provides an overview of the enabling techniques for CR communications. Subsequently, it discusses the main imperfections that may occur in the most widely used CR paradigms and then reviews the existing approaches towards addressing these imperfections. Finally, it provides some interesting open research issues.

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Section: ) Theoretical Model Based Estimation: Some Existingmentioning

confidence: 99%

Section: ) Robust Power Control For Siso Cr Networkmentioning

confidence: 99%

Cognitive Radio Techniques Under Practical Imperfections: A Survey

Sharma

Bogale

Chatzinotas

et al. 2015

IEEE Commun. Surv. Tutorials

197

111

View full text Add to dashboard Cite

show abstract

“…The NP( , ) problem can be reformulated as a VI problem [13], where is Nash equilibrium of the game, if and only if, it is a solution of the following VI(P,F) problem * . and are multipliers given as follows…”

Section: Power Allocation Algorithm Based On VI Problemmentioning

confidence: 99%

A Power Allocation Algorithm Based on Variational Inequality Problem for Cognitive Radio Networks

2017

J Inf Process Syst

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Power allocation is an important factor for cognitive radio networks to achieve higher communication capacity and faster equilibrium. This paper considers power allocation problem to each cognitive user to maximize capacity of the cognitive systems subject to the constraints on the total power of each cognitive user and the interference levels of the primary user. Since this power control problem can be formulated as a mixed-integer nonlinear programming (NP) equivalent to variational inequality (VI) problem in convex polyhedron which can be transformed into complementary problem (CP), we utilize modified projection method to solve this CP problem instead of finding NP solution and give a power control allocation algorithm with a subcarrier allocation scheme. Simulation results show that the proposed algorithm performs well and effectively reduces the system power consumption with almost maximum capacity while achieve Nash equilibrium.

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“…Therefore, in fact, static spectrum allocationalgorithm without considering nondeterministic parameters may result in frequent spectrum collision and poor performance. Recently, dynamic resource allocation with non-deterministic parameters in CRNs has received considerable interest from academia, which mainly focus on non-deterministic channel gain and mutual interference [10]- [12]. [10] studies the resource allocation for CRNs under non-deterministic signal-to-interference-plusnoise ratio (SINR) and propose a power control scheme by using water filling algorithm and stochastic programming.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, dynamic resource allocation with non-deterministic parameters in CRNs has received considerable interest from academia, which mainly focus on non-deterministic channel gain and mutual interference [10]- [12]. [10] studies the resource allocation for CRNs under non-deterministic signal-to-interference-plusnoise ratio (SINR) and propose a power control scheme by using water filling algorithm and stochastic programming. On the other hand, [11] studies the distributed resourceallocation problem in CRNs by considering the nondeterministic channel gainand the authors propose arobustdistributedpowercontrol algorithm by applying secondorder cone programming (SOCP).…”

Section: Introductionmentioning

confidence: 99%

Spectrum Assignment with Non-Deterministic Bandwidth of Spectrum Holein Cognitive Radio Networks

Huang

Zeng

et al. 2016

MATEC Web of Conferences

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Abstract.The spectrum allocation for cognitive radio networks (CRNs) has received considerable studies under the assumption that the bandwidth of spectrum holes is static. However, in practice, the bandwidth of spectrum holes is timevaried due to primary user/secondary user (PU/SU) activity and mobility, which result in non-determinacy. This paper studies the spectrum allocation for CRNs with non-deterministic bandwidth of spectrum holes. We present a novel probability density function (PDF) model through order statistic to describe the non-deterministic bandwidth of spectrum holes and provide a bound to approximate it. After that, a statistical spectrum allocation model based on stochastic multiple knapsack problem (MKP) is established for spectrum allocation with non-deterministic bandwidth of spectrum holes. To reduce the computational complexity, we transform this stochastic programming probleminto a constant MKP though exploiting the properties of cumulative distribution function (CDF), which can be solved via MTHG algorithm by using auxiliary variable. Simulation results illustrate that the proposed statistical spectrum allocation algorithm can achieve better performances compared to the existing algorithms when the bandwidth of spectrum holes istime-varied.

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Robust Transmit Power Control for Cognitive Radio

Cited by 175 publications

References 42 publications

Cognitive Radio Techniques Under Practical Imperfections: A Survey

Cognitive Radio Techniques Under Practical Imperfections: A Survey

A Power Allocation Algorithm Based on Variational Inequality Problem for Cognitive Radio Networks

Spectrum Assignment with Non-Deterministic Bandwidth of Spectrum Holein Cognitive Radio Networks

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