He, Yuanyuan and Dey, Subhrakanti (2013) Weighted sum rate maximization for cognitive MISO broadcast channel: Large system analysis. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, pp. 4873-4877. ISBN 9781479903566

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Abstract

This paper considers the ergodic weighted sum rate (WSR) maximization problem for an underlay cognitive radio MISO broadcast channel, where a secondary network, consisting of a base-station with M transmit antennas and K single-antenna secondary users (SUs), is allowed to share the same spectrum with a primary user (PU), under an average transmit sum power (ATTP) constraint P av and an average interference power (AIP) constraint on the PU. We show that the ATTP constraint is always active, and as P av → ∞, the ergodic WSR approaches infinity similar to the conventional non-CR network case. A low-complexity suboptimal beamforming scheme (called partially-projected regularized zero-forcing beamforming `PP-RZFBF') with a closed-form beamformer is proposed. Due to the non-convexity of PP-RZFBF scheme, a large system analysis is conducted in the limit as M and K approach infinity with a fixed finite ratio r = K/M. We derive deterministic limiting approximations for the PP-RZFBF problem which enables us to determine asymptotically optimal beamformers for PP-RZFBF. Numerical simulations illustrate that the asymptotically optimal beamformers turn out to be quite effective even for small M, K.

Item Type:	Book Section
Additional Information:	Cite as: Y. He and S. Dey, "Weighted sum rate maximization for cognitive MISO broadcast channel: Large system analysis," 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, pp. 4873-4877, doi: 10.1109/ICASSP.2013.6638587.
Keywords:	Weighted sum rate; maximization; cognitive; MISO broadcast channel; Large system analysis;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14504
Identification Number:	https://doi.org/10.1109/ICASSP.2013.6638587
Depositing User:	Subhrakanti Dey
Date Deposited:	03 Jun 2021 14:51
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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