Adaptive Power Allocation Schemes for Spectrum Sharing in Interference Alignment (IA)-Based Cognitive Radio Networks

Zhao, Nan; Yu, F. Richard; Sun, Hongjian; Li, Ming

Abstract

Interference alignment (IA) is a promising technique for interference management, and can be applied to spectrum sharing in cognitive radio (CR) networks. However, the sum rate may fall short of the theoretical maximum especially at low signal-to-noise ratio (SNR), and the quality of service (QoS) of the primary user (PU) may not be guaranteed. Besides, power allocation (PA) in IA-based CR networks is largely ignored, which can further improves its performance. Thus in this paper, PA in IA-based CR networks is studied. To guarantee the QoS requirement of the PU, its minimal transmitted power is derived. Then, we propose three PA algorithms to maximize the throughput of secondary users (SUs), the energy efficiency of the network, and the requirements of SUs, respectively, while guaranteeing the QoS of the PU. To reduce the complexity, the closed-form solutions of these algorithms are further studied in detail. The outage probability of the PU according to its rate threshold is also derived to analyze the performance of these algorithms. Moreover, we propose a transmission-mode adaptation scheme to further improve the PU’s performance when its QoS requirement cannot be guaranteed at low SNR, and it can be easily combined with the proposed PA algorithms. Simulation results are presented to show the effectiveness of the proposed adaptive PA algorithms for IA-based CR networks.

Citation

Zhao, N., Yu, F. R., Sun, H., & Li, M. (2016). Adaptive Power Allocation Schemes for Spectrum Sharing in Interference Alignment (IA)-Based Cognitive Radio Networks. IEEE Transactions on Vehicular Technology, 65(5), 3700-3714. https://doi.org/10.1109/tvt.2015.2440428

• Journal Article Type: Article
• Acceptance Date: May 30, 2015
• Online Publication Date: Jun 2, 2015
• Publication Date: May 12, 2016
• Deposit Date: Jun 1, 2015
• Publicly Available Date: Jun 9, 2015
• Journal: IEEE Transactions on Vehicular Technology
• Print ISSN: 0018-9545
• Electronic ISSN: 1939-9359
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 65
• Issue: 5
• Pages: 3700-3714
• DOI: https://doi.org/10.1109/tvt.2015.2440428
• Keywords: Cognitive radio, Energy efficiency, Interference alignment, Power allocation, Spectrum efficiency, Transmissionmode adaptation.
• Public URL: https://durham-repository.worktribe.com/output/1404599