Simplified Relay Selection and Power Allocation in Cooperative Cognitive Radio Systems

Li, Liying; Zhou, Xiangwei; Xu, Huiling; Li, G Y; Wang, D; Soong, Anthony C. K.

doi:10.1109/twc.2010.101810.100311

Cited by 211 publications

(132 citation statements)

References 8 publications

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“…For a non-cooperative game, NE is defined as the operating point at which no player can improve utility by changing its strategy unilaterally, assuming the other player continues to use its current strategy. At the PU s side, since there is only one player, the best response of the PU can be readily obtained by solving (6). To achieve this, the best response functions for the followers (SUs) must be obtained first, since the leader (PU) derives its best response function based on those of the followers.…”

Section: Game Theory Analysismentioning

confidence: 99%

“…Based on the analytical results of the SUs channel access time selection game, the leader of the stackelberg game, PU, chooses its optimal price to maximize its utility according to (6). By substituting (13) into (5), we can obtain…”

Section: Optimal Strategies Of the Primary Usermentioning

confidence: 99%

“…The performance of cooperative communication depends on careful resource allocation such as relay placement, relay selection, and power control. Li et al [6] investigated joint relay selection and power alloca- tion to maximize the system throughput with limited interference to PUs in cognitive radio networks. Qiang and Zarakovitis [7] proposed a joint channel and power allocation algorithm for spectrum sharing in an orthogonal frequency division multiple access (OFDMA) system.…”

Section: Introductionmentioning

confidence: 99%

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A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

Wang

Guan

Han

et al. 2013

Int. J. Autom. Comput.

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According to the property-rights model of cognitive radio, primary users (PUs) who own the spectrum resource have the right to lease part of spectrum to secondary users (SUs) in exchange for appropriate profit. In this paper, we propose a pricing-based spectrum leasing framework between one PU and multiple SUs. In this scenario, the PU attempts to maximize its utility by setting the price of spectrum. Then, the selected SUs have the right to decide their power levels to help PU s transmission, aiming to obtain corresponding access time. The spectrum leasing problem can be cast into a stackelberg game, where the PU plays the seller-level game and the selected SUs play the buyer-level game. Through analysis based on the backward induction, we prove that there exists a unique equilibrium in the stackelberg game with certain constraints. Numerical results show that the proposed pricing-based spectrum leasing framework is effective, and the performance of both PU and SUs is improved, compared to the traditional mechanism without cooperation.

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Section: Game Theory Analysismentioning

confidence: 99%

Section: Optimal Strategies Of the Primary Usermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

Wang

Guan

Han

et al. 2013

Int. J. Autom. Comput.

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“…Hence, achieving high data rates with reliable transmission is a major challenge for a wireless communication system design. Recently, the studies of cognitive radio (CR) technology and cooperative techniques have emerged as promising approaches to improve the efficiency of frequency spectrum utilization, to enhance the transmission reliability, and to extend the coverage [1][2][3][4][5][6][7][8][9][10][11]. Specifically, the literature [1][2][3] provided several important aspects of a cognitive relay network (CRN) such as interference temperature estimation, spectrum hold detection, and dynamic spectrum management.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of MIMO cognitive amplify‐and‐forward relay networks with orthogonal space–time block codes

Chu

Phan

Zepernick

2014

Wireless Communications

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Performance analysis of MIMO cognitive amplify-and-forward relay networks with orthogonal space-time block codes. Wireless Communications & Mobile ABSTRACTIn this paper, we study the performance of multiple-input multiple-output cognitive amplify-and-forward relay networks using orthogonal space-time block coding over independent Nakagami-m fading. It is assumed that both the direct transmission and the relaying transmission from the secondary transmitter to the secondary receiver are applicable. In order to process the received signals from these links, selection combining is adopted at the secondary receiver. To evaluate the system performance, an expression for the outage probability valid for an arbitrary number of transceiver antennas is presented. We also derive a tight approximation for the symbol error rate to quantify the error probability. In addition, the asymptotic performance in the high signal-to-noise ratio regime is investigated to render insights into the diversity behavior of the considered networks. To reveal the effect of network parameters on the system performance in terms of outage probability and symbol error rate, selected numerical results are presented. In particular, these results show that the performance of the system is enhanced when increasing the number of antennas at the transceivers of the secondary network. However, increasing the number of antennas at the primary receiver leads to a degradation in the secondary system performance. Copyright © 2014 John Wiley & Sons, Ltd. KEYWORDSmultiple-input multiple-output (MIMO); amplify-and-forward (AF); relay networks; orthogonal space-time block codes (OSTBCs); cognitive radio networks; outage probability; symbol error rate (SER)

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“…By the use of relays, the transmitted power from the source terminal can be significantly reduced [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Relay Selection and Power Allocation in Amplify-and-Forward Cognitive Radio Systems Based on Spectrum Sharing

Zhao¹,

Zhang²,

Cheng³

2013

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In this paper, we consider a spectrum sharing scheme that is a joint optimization of relay selection and power allocation at the secondary transmitter, which aims to achieve the maximum possible throughput for the secondary user. This paper considers the scenario where the primary user is incapable of supporting its target signal-to-noise ratio (SNR). More especially, the secondary transmitter tries to assist the primary user with achieving its target SNR by cooperative amplify-and-forward (AF) relaying with two-phase. By exhaustive search for all candidate secondary transmitters, an optimal secondary transmitter can be selected, which not only can satisfy the primary user's target SNR, but also maximize the secondary user's throughput. The optimal secondary transmitter acts as a relay for the primary user by allocating a part of its power to amplify-and-forward the primary signal over the primary user's licensed spectrum bands. At the same time, as a reward, the optimal secondary transmitter uses the remaining power to transmit its own signal over the remaining licensed spectrum bands. Thus, the secondary user obtains the spectrum access opportunities. Besides, there is no interference between the primary user and the secondary user. We study the joint optimization of relay selection and power allocation such that the secondary user's throughput is maximized on the condition that it satisfies the primary user's target SNR. From the simulation, it is shown that the joint optimization of relay selection and power allocation provides a significant throughput gain compared with random relay selection with optimal power allocation (OPA) and random relay selection with water-filling power allocation (WPA). Moreover, the simulation results also shown that our spectrum sharing scheme obtains the win-win solution for the primary system and the secondary system.

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Simplified Relay Selection and Power Allocation in Cooperative Cognitive Radio Systems

Cited by 211 publications

References 8 publications

A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

A Stackelberg Game for Spectrum Leasing in Cooperative Cognitive Radio Networks

Performance analysis of MIMO cognitive amplify‐and‐forward relay networks with orthogonal space–time block codes

Relay Selection and Power Allocation in Amplify-and-Forward Cognitive Radio Systems Based on Spectrum Sharing

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