Adaptive power allocation with quality-of-service guarantee in cognitive radio networks
Computer Communications
Low-complexity centralized joint power and admission control in cognitive radio networks
IEEE Communications Letters
Spectrum sharing in wireless networks via QoS-aware secondary multicast beamforming
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Weighted sum rate optimization for cognitive radio MIMO broadcast channels
IEEE Transactions on Wireless Communications
Robust cognitive beamforming with partial channel state information
IEEE Transactions on Wireless Communications
Beamforming and power control for multi-antenna cognitive two-way relaying
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Joint power management and beamforming for base stations in cognitive radio systems
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
On ergodic sum capacity of fading cognitive multiple-access and broadcast channels
IEEE Transactions on Information Theory
Cognitive multiple access channels: optimal power allocation for weighted sum rate maximization
IEEE Transactions on Communications
Robust cognitive beamforming with bounded channel uncertainties
IEEE Transactions on Signal Processing
Spatial spectrum holes for cognitive radio with relay-assisted directional transmission
IEEE Transactions on Wireless Communications
Robust beamforming in cognitive radio
IEEE Transactions on Wireless Communications
Robust beamforming design: From cognitive radio MISO channels to secrecy MISO channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A distributed beamforming approach for enhanced opportunistic spectrum access in cognitive radios
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Adaptive modulation in spectrum-sharing systems with delay constraints
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Effective capacity for interference and delay constrained cognitive radio relay channels
IEEE Transactions on Wireless Communications
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
IEEE Transactions on Signal Processing
Effective capacity of delay-constrained cognitive radio in Nakagami fading channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Rate adaptation with joint receive diversity and power control for cognitive radio networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Joint precoding and power allocation for multiuser transmission in MIMO relay networks
International Journal of Communication Systems
Cognitive MIMO Radio: Performance Analysis and Precoding Strategy
International Journal of Cognitive Informatics and Natural Intelligence
Wireless Personal Communications: An International Journal
Distributed power adjustment based on control theory for cognitive radio networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Wireless Personal Communications: An International Journal
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A cognitive radio (CR) network refers to a secondary network operating in a frequency band originally licensed/allocated to a primary network consisting of one or multiple primary users (PUs). A fundamental challenge for realizing such a system is to ensure the quality of service (QoS) of the PUs as well as to maximize the throughput or ensure the QoS, such as signal-to-interference-plus-noise ratios (SINRs), of the secondary users (SUs). In this paper, we study single-input multiple output multiple access channels (SIMO-MAC) for the CR network. Subject to interference constraints for the PUs as well as peak power constraints for the SUs, two optimization problems involving a joint beamforming and power allocation for the CR network are considered: the sum-rate maximization problem and the SINR balancing problem. For the sum-rate maximization problem, zero-forcing based decision feedback equalizers are used to decouple the SIMO-MAC, and a capped multi-level (CML) water-filling algorithm is proposed to maximize the achievable sum-rate of the SUs for the single PU case. When multiple PUs exist, a recursive decoupled power allocation algorithm is proposed to derive the optimal power allocation solution. For the SINR balancing problem, it is shown that, using linear minimum mean-square-error receivers, each of the interference constraints and peak power constraints can be completely decoupled, and thus the multi-constraint optimization problem can be solved through multiple single-constraint sub-problems. Theoretical analysis for the proposed algorithms is presented, together with numerical simulations which compare the performances of different power allocation schemes.