Cooperative bargaining solution for efficient and fair spectrum management in cognitive wireless networks

Guan, Zhonghong; Yuan, Dongfeng; Zhang, Haixia; Ding, Lei

doi:10.1002/dac.2553

Cited by 9 publications

(9 citation statements)

References 39 publications

(61 reference statements)

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“…As a result, cooperative game theory is preferred for distributed power control [7]. In fact, efficiency and fairness are two of the most concerned metrics for power control algorithms, both of which can be handled well by the cooperative game property arising from the Nash axioms ensures user fairness [13].…”

Section: Related Workmentioning

confidence: 99%

“…In [2], author studies the fairness among the primary users (PUs) and the secondary users (SUs) for resource allocation in cognitive radio systems. In [13], the authors studied the system efficiency and the fairness among the PUs and the SUs based on kalai-Smorodinsky bargaining solution compared with the sum-rate maximization and the Max-Min rate. In [15], the authors proposed a cooperative Nash Bargaining Power Control Game (NBPCG), where interference power constraints (IPCs) are imposed to protect the primary users' (PUs) transmissions, and minimum signal-to-interference plus-noise ratio (SINR) requirements are employed to provide reliable transmission opportunities to SUs.…”

Section: Related Workmentioning

confidence: 99%

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Bargaining Solutions for Energy Efficient and Fair Power Allocation in Cognitive D2D Communications

Fourati¹,

Hamouda²,

Maharaj³

2016

IJCA

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Device-to-Device (D2D) technology underlying the cellular network is an attractive solution for future generation network to increase cellular traffic offloading. In order to reduce the interference caused to cellular network, D2D users can opportunistically access the cellular spectrum using cognitive radio capabilities. They can either avoid interference by transmitting on the spectrum wholes or merely control their power while transmitting simultaneously with the cellular users. In this paper, cognitive D2D users, referred to as Secondary Users (SUs), communicate at the same time as uplink cellular users. A new power control approach is proposed based on bargaining game theoretic solutions to better control SUs' transmit power and thus reduce the interference level at the cellular base station referred to as the Primary User (PU). First, the SUs utility functions are defined and take into account the achieved data rate, the power consumption and the impact of the interference. Then, the optimal power allocation is analyzed through the application of the Nash bargaining, Kalai-Smorodinsky and other bargaining solutions. A comparison between the performance of these solutions in terms of energy efficiency and fairness is derived. Simulation results show that a tradeoff between fairness and energy efficiency should be taken into account. The performance of cooperative solutions is also compared with non-cooperative games both analytically and through simulations. General TermsCognitive radio, Game Theory, D2D Communications, 5G.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Bargaining Solutions for Energy Efficient and Fair Power Allocation in Cognitive D2D Communications

Fourati¹,

Hamouda²,

Maharaj³

2016

IJCA

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“…Authors in [12] used cooperative game theory concept to allocate the resources over LTE technology. Furthermore, the Nash Bargaining Solution (NBS) concept is utilized to address the fairness issue by introducing an optimal fair resource allocation.…”

Section: Introductionmentioning

confidence: 99%

A Novel Scheduling Algorithm Based on Game Theory and Multicriteria Decision Making in LTE Network

Hindia

Reza

Noordin

2015

International Journal of Distributed Sensor Networks

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Fourth generation wireless networks provide mobile users with high data rate and quality of services, such as Long Term Evolution (LTE), which has been developed by the 3rd Generation Partnership Project (3GPP). However, 3GPP is not a standardized scheduling algorithm to utilize LTE properties in smart grid applications. This paper proposes a two-level scheduling scheme composed of cooperative game theory (bankruptcy and shapely) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). The proposed algorithm improves resource allocation for three smart grid applications, namely, voice, video surveillance, and metering data. On the first level, bankruptcy and shapely value algorithm fairly distribute the resources among smart grid applications. On the second level, TOPSIS algorithm allocates the resources among application's users based on their criteria and the application's preferences. Moreover, the system's performance has been evaluated in terms of throughput, delay, and fairness index. The proposed algorithm is compared with existing algorithms, such as proportional fairness, modified largest weighted delay first, and exponential rule schemes. The results show a significant improvement compared to other algorithms. This paper presents a novel technique consisting of both TOPSIS and game theory algorithms to study three smart grid applications. The novel algorithm has proven to be an effective scheduling technique for smart grid applications.

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“…Recent measurements [1,2] indicate that the licensed spectrum resources have not been fully exploited depending on the time, frequency, and location. In CR context, spectrum sensing is an essential enabling functionality to detect unoccupied spectrum bands as reliably and efficiently as possible in relatively low signal-to-noise ration (SNR) level, and then dynamically adjust the radio operating parameters accordingly [14][15][16][17]. Cognitive radio (CR), which was coined by Mitola [3], is a promising solution to alleviate the spectral scarcity.…”

Section: Introductionmentioning

confidence: 99%

“…CR has been proposed as a promising solution to improve spectrum utilization via dynamic spectrum access over the past few years [4][5][6][7][8][9][10][11][12][13]. In CR context, spectrum sensing is an essential enabling functionality to detect unoccupied spectrum bands as reliably and efficiently as possible in relatively low signal-to-noise ration (SNR) level, and then dynamically adjust the radio operating parameters accordingly [14][15][16][17]. Therefore, the detection of primary users is one of the main challenges in the development of the CR technology, and more and more attention has been paid to obtain various reliable and efficient spectrum sensing methods [18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Polyphase filter bank based multi‐band spectrum sensing in cognitive radio systems

Zhang

Ruyet

Roviras

2014

Int J Communication

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Spectrum sensing has been identified as an essential enabling functionality for cognitive radio (CR) systems to guarantee that CR users could share the spectrum resource with licensed users on a non-interfering basis. Recently, simultaneous sensing of multi-band licensed user activity has been attracting more and more research interest. Generally, the multi-band sensing is implemented through energy detection by estimating power spectral density. In this paper, we investigate a multi-band energy detection architecture based on different polyphase filter banks (PFBs), which aim to reliably sense multiple active bands by exploiting the low power leakage property of PFB. We have theoretically derived the closed-form expressions of detection probability and false alarm probability for PFBs and fast Fourier transform based detectors, respectively. Theoretical detection thresholds are therefore computed, which ensures a fair comparison for different detectors. Final experimental results are presented to verify our theoretical analysis and demonstrate that PFBs based sensing architecture exhibits better sensing performance than the conventional FFT.Spectrum sensing on a single frequency band has a relatively rich literature [29,30]. However, the literature of multi-band sensing that monitors multiple frequency bands simultaneously is very limited. The basic concept of multi-band sensing is to firstly estimate the power spectral density (PSD) and then power detection (which is simple and can locate spectrum occupancy information quickly) is applied in the frequency domain based on the observed power spectrum [31][32][33]. A spectrum sensing algorithm for wideband CR systems was proposed in [34] by exploiting the sensed spectrum discontinuity properties. In [35], a wideband dual-stage sensing technique: a coarse and a fine spectrum sensing architecture was proposed. These two sensing stages collaborate with each other to enhance the accuracy of spectrum sensing performance. In [36], three widely used spectrum estimation methods, weighted overlapped segment averaging approach, multi-taper spectrum estimator, and multiple signal classification algorithm, were introduced and compared for wideband detection. In [37], a novel approach called segmented periodogram for wideband spectrum segmentation was proposed. The proposed scheme is based on the posterior expectation of the piece-wise flat realizations of the underlying signal spectrum, which is obtained using the reversible jump Markov chain Monte Carlo technique. The authors in [38] considered joint decisions over multiple frequency bands. The spectrum sensing problem is formulated as a class of optimization problems in interference limited cognitive radio networks. The theoretical analysis of spectrum sensing using multitaper spectrum was investigated in [39], where analytic detection probabilities have been derived for multitaper-based detection schemes, which is demonstrated to be more robust to the noise uncertainty compared with energy-based detectors. In [40], the aut...

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Cooperative bargaining solution for efficient and fair spectrum management in cognitive wireless networks

Cited by 9 publications

References 39 publications

Bargaining Solutions for Energy Efficient and Fair Power Allocation in Cognitive D2D Communications

Bargaining Solutions for Energy Efficient and Fair Power Allocation in Cognitive D2D Communications

A Novel Scheduling Algorithm Based on Game Theory and Multicriteria Decision Making in LTE Network

Polyphase filter bank based multi‐band spectrum sensing in cognitive radio systems

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