Joint Power Control and Blind Beamforming over Wireless Networks: A Cross Layer Approach



Journal Title

Journal ISSN

Volume Title


EURASIP Journal on Advances in Signal Processing


Traditional joint power control and beamforming achieve the targeted signal-to-interference-noise ratio (SINR) at the receivers by assuming the knowledge of the measurements of channel parameters and SINR. Blind beamforming is an effective technique for beamforming and channel estimation without the need of training sequences, thus not consuming extra bandwidth. In this paper, we propose a novel joint power control and blind beamforming algorithm that reformulates the power control problem in such a way that it does not need any prior knowledge and additional measurements in the physical layer. In contrast to the traditional schemes that optimize SINR and, as a result, minimize bit error rate (BER), our proposed algorithm achieves the desired BER by adjusting a quantity available from blind beamforming. By sending this quantity to the transmitter through a feedback channel, the transmit power is iteratively updated in a distributed manner in the wireless networks with cochannel interferences (CCIS). Our proposed algorithm is more robust to estimation errors. We have shown in both analysis and simulation that our algorithm converges to the desired solution. In addition, a Cramer-Rao lower bound (CRB) is derived to compare with the performance of our proposed joint power control and blind beamforming system.



array signal processing, power control, distributed control, direction of arrival estimation


Copyright 2004 EURASIP Journal on Advances in Signal Processing. Recommended citation: Han, Zhu, Farrokh R. Farrokhi, and KJ Ray Liu. "Joint power control and blind beamforming over wireless networks: a cross layer approach." EURASIP Journal on Applied signal processing 2004 (2004): 751-761. DOI: 10.1155/S1110865704311030. URL: Reproduced in accordance with the original publisher's licensing terms and with permission from the author(s).