JOURNAL ARTICLE

Distributed Interference Alignment in Cognitive Radio Networks

Abstract

In this paper, we investigate the problem of incorporating two advanced physical layer technologies, i.e., multiple-input and multiple- output (MIMO) and distributed interference alignment, in cognitive radio (CR) networks. We present a cooperative spectrum leasing scheme for primary and secondary users to trade off between data transmission and revenue collection/payment. A Stackelberg game is formulated, where the primary user is the leader and the secondary users are followers. With backward induction, we derive the unique Stackelberg Equilibrium, where no player can gain by unilaterally changing strategy, as well as the optimal strategies. We find spectrum leasing is always beneficial to enhance the utilities of primary and secondary users. The proposed scheme outperforms a no-spectrum-leasing scheme and a cooperative scheme presented in the literature with considerable gains, which demonstrate the benefits of spectrum leasing and distributed interference alignment and validate the efficacy of the proposed scheme.

Keywords:
Stackelberg competition Cognitive radio Backward induction Computer science Interference (communication) Scheme (mathematics) Computer network Physical layer Transmission (telecommunications) Nash equilibrium Transmitter MIMO Game theory Single antenna interference cancellation Mathematical optimization Telecommunications Wireless Channel (broadcasting) Mathematics

Metrics

6
Cited By
1.81
FWCI (Field Weighted Citation Impact)
21
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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