Spectrum sharing and power allocation in multiple-in multiple-out cognitive radio networks via pricing

Adian, Mehdi Ghamari; Aghaeinia, Hassan

doi:10.1049/iet-com.2011.0489

Cited by 19 publications

(29 citation statements)

References 14 publications

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“…Using this merit function gives us the same conclusion made on the previous papers that introduced the concept of games with pricing [8], [9], [10]. However, the proof of convergence for asynchronous method was not given in any of the previous papers.…”

Section: Suggestions For the Merit Functionsupporting

confidence: 58%

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Sum-rate maximization in multiuser MIMO networks: A game theoretic approach

Siyari

Aghaeinia

2015

2015 23rd Iranian Conference on Electrical Engineering

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In this paper, power control in a multiuser MIMO network will be analyzed. Basically, we focus on power control algorithms based on game theory. Despite the advantages of stateof-the-art game theoretic power control algorithms such as low signaling overhead and distributed implementation, the users sum-rate has not yet increased because the saddle points (i.e., equilibrium points) in these algorithms are not in the Pareto optimality region of sum-rate maximization problem. We design an algorithm that can improve the sum-rate of power control games. The framework that we propose can also include games with pricing as a special case.

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Section: Suggestions For the Merit Functionsupporting

confidence: 58%

“…Proof: Using the Gershgorin circle theorem, one can derive a bound on positive definiteness of M , which will reduce to (10). Doing the same analysis on M T leads us to derive the same condition as in (11).…”

Section: A Alternating the Definition Of The Power Control Gamementioning

confidence: 96%

Sum-rate maximization in multiuser MIMO networks: A game theoretic approach

Siyari

Aghaeinia

2015

2015 23rd Iranian Conference on Electrical Engineering

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“…Several dynamic resource allocation schemes are presented in [21,22]. The authors in [19], formulated a multidimensional resource allocation problem whose object is to minimize the total power to be transmitted and set each user's QoS requirements as constraints.…”

Section: Multidimensional Resource Allocationmentioning

confidence: 99%

Quality of service improvement for high-speed railway communications

Zhou

2014

China Commun.

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Abstract:With the fast development of high-speed railways, a call for fulfilling the notion of communication at "anytime, anywhere" for high-speed train passengers in the Train Operating Control System is on the way. In order to make a realization of that, new railway wireless communication networks are needed. The most promising one is the Long Term Evolution for Railway which will provide broadband access, fast handover, and reliable communication for high mobility users. However, with the increase of speed, the system is subjected to high bit error rate, Doppler frequency shift and handover failure just like other system does. This paper is trying to solve these problems by employing MIMO technique. Specifically, the goal is to provide higher data rate, higher reliability, less delay, and other relative quality of services for passengers. MIMO performance analysis, resource allocation, and access control for handover and various services in a two-hop model are proposed in this paper. Analytical results and simulation results show that the proposed model and schemes perform well in improving the system performances.

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“…In [9], based on Euclidean projection, a distributed PC algorithm with QoS requirements is studied to minimize total power consumption of SUs under time-varying channel scenario. In [10], the authors extend the pricing concept to a multichannel MIMO CR scenario and propose two iterative PC and channel allocation algorithms.…”

Section: Introductionmentioning

confidence: 99%

Power control for cognitive relay networks with sensing uncertainties

Zhao

2016

J Wireless Com Network

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Power control (PC) is a key solution to enable spectrum sharing between secondary users (SUs) and primary users (PUs). However, previous research lacks sensing uncertainties for the status of PUs. In this article, we focus on the PC problem for a cognitive relay network under the spectrum sensing uncertainties to minimize the total bit error rate (BER) of SUs under the constraints of maximum transmit power budgets, signal-to-interference-and-noise ratio (SINR) constraints, and interference requirements to provide protection for PUs. We first formulate the interference model by taking sensing uncertainties into account, while the worst-channel-state-information (worst-CSI) PC algorithm is introduced to limit the BER of SUs, which only needs to operate the algorithm in one link whose CSI is worst. And a cooperative spectrum sensing (CSS) strategy is considered to optimize the sensing performance. To deal with the optimization problem, the original min-max BER problem is converted into an equivalent max-min SINR problem solved by Lagrange dual decomposition method. Finally, simulation results are presented to indicate that our proposed algorithm can obtain good BER performance and guarantee quality of service of PU.

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Spectrum sharing and power allocation in multiple-in multiple-out cognitive radio networks via pricing

Cited by 19 publications

References 14 publications

Sum-rate maximization in multiuser MIMO networks: A game theoretic approach

Sum-rate maximization in multiuser MIMO networks: A game theoretic approach

Quality of service improvement for high-speed railway communications

Power control for cognitive relay networks with sensing uncertainties

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