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Joint Beamforming and Power Optimization for D2D Underlaying Cellular Networks

Mirza, J; Zheng, G; Wong, KK; Saleem, S; (2018) Joint Beamforming and Power Optimization for D2D Underlaying Cellular Networks. IEEE Transactions on Vehicular Technology 10.1109/TVT.2018.2845748. (In press). Green open access

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Abstract

This paper studies the optimal joint beamforming and power control strategy for device-to-device (D2D) communication underlaying multiuser multiple-input multiple-output cellular networks. We consider multiple antennas at the base station (BS) and a single antenna at each cellular user (CU), D2D transmitter (DT) and D2D receiver (DR). We aim to minimize the total transmission power of the system by jointly designing the transmit beamforming at the BS and the transmit powers for both BS and DTs, while satisfying the signal-to-interference-plus-noise ratio based quality-of-service constraints for both CUs and DRs. Due to the non-convex nature of the problem, we apply the semidefinite relaxation technique to find the optimal solution, which always satisfies the rank-one constraint. We also investigate three sub-optimal fixed beamforming schemes: zero-forcing (ZF), regularized ZF and hybrid maximum ratio transmission-ZF, where the focus is to minimize the total transmission power while reducing complexity. When perfect channel information is not available, we propose a robust transmit power minimization strategy with ZF beamforming which only requires limited feedback based channel direction information at the BS. Finally, computer simulation results are presented to demonstrate the effectiveness of the proposed schemes.

Type: Article
Title: Joint Beamforming and Power Optimization for D2D Underlaying Cellular Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TVT.2018.2845748
Publisher version: https://doi.org/10.1109/TVT.2018.2845748
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Beamforming, multiple-input multiple-output (MIMO), D2D, semidefinite relaxation (SDR)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10053200
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