ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Rate-Optimal Relay Selection for Average Interference-Constrained Underlay CR

Das, Priyanka and Mehta, Neelesh B (2017) Rate-Optimal Relay Selection for Average Interference-Constrained Underlay CR. In: IEEE TRANSACTIONS ON COMMUNICATIONS, 65 (12). pp. 5137-5148.

[img] PDF
IEEE_Tra_Com_65-12_5137_2017.pdf - Published Version
Restricted to Registered users only

Download (907kB) | Request a copy
Official URL: http://dx.doi.org/10.1109/TCOMM.2017.2740209

Abstract

Cooperative relaying combined with selection exploits spatial diversity to improve the performance of interference-constrained secondary users in an underlay cognitive radio (CR) network. While a relay improves the signal-to-interference-plus-noise ratio (SINR) of the secondary network, it requires two hops and also generates interference to the primary network. We present a novel, optimal relay selection rule that maximizes the fading-averaged transmission rate of an average interference-constrained underlay secondary network. It differs from the several ad hoc incremental relaying schemes proposed in the literature, while requiring a feedback overhead that is comparable to them. We then analyze the average rate of the optimal rule. We also present insightful high and low SINR asymptotic analyses, which bring out the extent to which the use of the relays improves the average rate as a function of the system parameters. Our numerical results show that the proposed rule outperforms several known relay selection schemes for CR, and also characterize the regimes in which some of these schemes are near-optimal.

Item Type: Journal Article
Publication: IEEE TRANSACTIONS ON COMMUNICATIONS
Publisher: 10.1109/TCOMM.2017.2740209
Additional Information: Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 12 Jan 2018 07:25
Last Modified: 12 Jan 2018 07:25
URI: http://eprints.iisc.ac.in/id/eprint/58719

Actions (login required)

View Item View Item