Robust SINR Balancing Technique for a Cognitive Radio Network Using Probability Based Interference Constraints

Xiong, Zhilan; Cumanan, Kanapathippillai; Lambotharan, Sangarapillai

doi:10.1109/dyspan.2010.5457894

Cited by 5 publications

(8 citation statements)

References 18 publications

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“…Denote singular-value decomposition (SVD) of as (7) where and are unitary matrices, and is a diagonal matrix with diagonal elements such that , where is the -th singular values of .…”

Section: A Primary Systemmentioning

confidence: 99%

“…In [5], transmit covariance matrices of SUs are designed to maximize their own throughput. To take the fairness of SUs into account, a SINR balancing issue has been studied in [7]. When only the statistics of interference CSI are known or the CSI has error, SUs can be designed to control average interference to the PUs [8] or to guarantee PUs' average [9] or outage performance [10].…”

Section: Introductionmentioning

confidence: 99%

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Spatial-Frequency Signal Alignment for Opportunistic Transmission

Maaref

2014

IEEE Trans. Signal Process.

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In this paper, we investigate opportunistic transmission based on signal alignment for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) cognitive radio (CR) systems, where both primary and secondary users have multiple antennas. In the studied scenario, primary users are transmitting based on OFDM and secondary users generate interference-free transmission to the primary users by using both the spatial and frequency space leftover by the primary system. Moreover, inter-and intra-interference among secondary users are considered as well. The number of symbols that can be transmitted by each secondary user satisfying all interference-free constraints is obtained. Precoding matrix design will be discussed for perfectly-and partially-aligned transmission. Two chordal-distance based schemes, called as exhaustive search algorithm and heuristic algorithm, will be developed for each case. Compared to the traditional time-division multiple-access (TDMA) scheme, the proposed scheme can support more interference-free symbols to be transmitted by secondary users simultaneously.Index Terms-Cognitive radio (CR) network, interference-free transmission, signal alignment.

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“…Denote singular-value decomposition (SVD) of as (7) where and are unitary matrices, and is a diagonal matrix with diagonal elements such that , where is the -th singular values of .…”

Section: A Primary Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial-Frequency Signal Alignment for Opportunistic Transmission

Maaref

2014

IEEE Trans. Signal Process.

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“…For multi-antenna systems, most study jointly optimizes power allocation and beamforming [92][93][94][95]. Under IPCs and peak TPCs, the power allocation and beamforming design for sum-rate maximization and signal-to-interference-plus-noise ratios (SINRs) balancing problems have been studied for SIMO systems in [92].…”

Section: Multi-antenna Systemsmentioning

confidence: 99%

“…When linear minimum mean-square-error (MMSE) receivers are utilized, multiple constraints can be decoupled into several subproblems with a single constraint. The study of SINR-balancing has been extended into MIMO systems in [93], where a robust beamforming design is developed to limit the interference leakage to PU below a specific threshold with a certain probability. Beamforming for MIMO systems has been proposed to maximize the SINR of SUs under IPCs in [94].…”

Section: Multi-antenna Systemsmentioning

confidence: 99%

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

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

217

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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“…Sun et al [19] also investigated the robust problem in cognitive radio networks to minimize the total power consumption of SU-Tx under the QoS constraint at SU-Rx and the interference constraint at PU-Rx. Xiong et al [20] studied a max-min SINR problem of the SUs with controlling the interference leakage to PUs using the probability based approach.…”

Section: Introductionmentioning

confidence: 99%

Transmission strategies with interference coordination in spectrum sharing cognitive radio networks under outage probability constraint

Wang

Cai

Kang

et al. 2012

J Wireless Com Network

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In this article, we consider a cognitive radio (CR) communication system based on spectrum sharing schemes, where we have a secondary user (SU) link with multiple transmitting antennas and a single receiving antenna, coexisting with a primary user (PU) link with a single receiving antenna. At the SU transmitter (SU-Tx), the channel state information (CSI) of the SU link is assumed to be perfectly known; while the interference channel from the SU-Tx to the PU receiver (PU-Rx) is not perfectly known due to less cooperation between the SU and the PU. As such, the SUTx is only assumed to know that the interference channel gain can randomly take values from a finite set with certain probabilities. Considering a SU transmit power constraint, our design objective is to determine the transmit covariance matrix that maximizes the SU rate, while we protect the PU by enforcing both a PU average interference constraint and a PU outage probability constraint. This problem is first formulated as a non-convex optimization problem with a non-explicit probabilistic constraint, which is then approximated as a mixed binary integer programming (MBIP) problem and solved with the branch and bound (BB) algorithm. The complexity of the BB algorithm is analyzed and numerical results are presented to validate the effectiveness of the proposed algorithm. A key result proved in the article is that the rank of the optimal transmit covariance matrix is one, i.e., CR beamforming is optimal under PU outage constraints. Finally, a heuristic algorithm is proposed to provide a suboptimal solution to our MBIP problem by efficiently (in polynomial time) solving a particularly-constructed convex problem.

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Robust SINR Balancing Technique for a Cognitive Radio Network Using Probability Based Interference Constraints

Cited by 5 publications

References 18 publications

Spatial-Frequency Signal Alignment for Opportunistic Transmission

Spatial-Frequency Signal Alignment for Opportunistic Transmission

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

Transmission strategies with interference coordination in spectrum sharing cognitive radio networks under outage probability constraint

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