Adaptive beamforming based on subspace theory in cognitive networks

Authors:
Wei Xi;Changchuan Yin;Danpu Liu;Guangxin Yue
Affiliations:
Laboratory of Wireless Communication Systems and Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China;Laboratory of Wireless Communication Systems and Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China;Laboratory of Wireless Communication Systems and Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China;Laboratory of Wireless Communication Systems and Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

In this paper, a two-terminal cognitive network coexists in underlay way with a primary network, which is comprised of two primary radios who takes turn to send signals to each other in time division duplex (TDD) mode. In order to alleviate the interference to receivers in primary network, adaptive beamforming algorithm is proposed based on subspace theory, which can adaptively adjust the direction of beam to maximize the capacity of cognitive link. If the channel between cognitive transmitter and primary receiver is completely known to cognitive transmitter, cognitive transmission produces completely no interference to primary receiver. If this assumption can't be guaranteed, this will inevitably introduce interference to primary receiver. However, we can keep the interference at primary receiver below the predefined interference temperature. Finally, simulation is conducted and justifies its feasibility.