Power and Channel Allocation for Cooperative Relay in Cognitive Radio Networks

Zhao, Guodong; Yang, Chenyang; Li, Geoffrey Ye; Li, Dongdong; Soong, Anthony C. K.

doi:10.1109/jstsp.2010.2052784

Cited by 115 publications

(69 citation statements)

References 27 publications

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“…To reduce the energy consumption of the fully distributed TPA, a distributed feedback assisted TPA has been proposed by feeding back the estimated real-valued transmit power. Besides power allocation, channel allocation has been studied in [97]. In a three-node CR network, end-to-end transmission is categorized into three modes, namely direct, dual-hop, and relay channels.…”

Section: Multi-hop Systemsmentioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

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216

117

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Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users' activities to avoid interference and collisions. How to obtain reliable results of the licensed users' activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the implementation of CR. In this article, we provide an overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems.

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Section: Multi-hop Systemsmentioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

Self Cite

216

117

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“…[2] demonstrated that cooperative transmission is a promising approach for improving the throughput of SUs. [3] developed power and channel allocation approaches that can improve the overall throughput. However, most of the existing relaying schemes do not consider the quality of service (QoS) requirement of the SU which acts as the relay.…”

Section: Introductionmentioning

confidence: 99%

Relay Selection and Power Allocation with QoS Guranteed in Cognitive Radio Networks

Yu¹

2017

Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

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Abstract:In this paper, we consider the problem of joint relay selection and power allocation in a cognitive radio (CR) network, where a secondary user (SU) source communicates with a secondary access point (AP) assisted by a set of SU relays. Each SU in this set not only acts as a potential relay but also has its own quality of service (QoS) requirement. We propose an optimal scheme with QoS support. On the premise of meeting the minimum QoS requirements of all SUs, the goal of the proposed scheme is to maximize the weighted sum rate of the network. A closed-form solution for the optimal power allocation can be obtained by the Karush-Kuhn-Tucker (KKT) conditions.

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“…It has attracted much attention in both the academic and the industry over the last decade [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Channel direction information probing for multi-antenna cognitive radio system

Fang

Villardi

Kojima

et al. 2015

EURASIP J. Adv. Signal Process.

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This work studies the problem of channel direction information (CDI) probing for multi-antenna cognitive radio system. The CDI of the channel from the secondary transmitter (ST) to primary receiver (PR) is elementary information in designing the beamforming at the ST for mitigating the interference to the PR. However, lacking the explicit cooperation between primary and secondary systems, the CDI has to be acquired by probing at the ST, which is challenging. To solve this, we consider the line of sight (LoS) channel between the ST and the PR, and propose one CDI probing scheme for the ST. Specifically, the ST sends two types of probing signals by beamforming towards an interested region where both the secondary receiver (SR) and the PR are located and then actively learns the hidden feedback information from the primary system to acquire the CDI. The proposed scheme has a closed-form solution, and avoids the iteration between the probing and acquisition, which is desirable for practical system. Moreover, we show that the proposed probing scheme can be extended for primary systems working under multi-access channel and broadcasting channel. Simulation results demonstrate that the proposed scheme can improve the accuracy of the acquired CDI at the ST in cognitive ratio system remarkably.

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Power and Channel Allocation for Cooperative Relay in Cognitive Radio Networks

Cited by 115 publications

References 27 publications

Ten years of research in spectrum sensing and sharing in cognitive radio

Ten years of research in spectrum sensing and sharing in cognitive radio

Relay Selection and Power Allocation with QoS Guranteed in Cognitive Radio Networks

Channel direction information probing for multi-antenna cognitive radio system

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