+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||Beamforming optimization for full-duplex wireless-powered MIMO systems|
|Authors: ||Chalise, Batu K.|
Suraweera, Himal A.
Karagiannidis, George K.
|Issue Date: ||2017|
|Citation: ||CHALISE, B.K. ... et al., 2017. Beamforming optimization for full-duplex wireless-powered MIMO systems. IEEE Transactions on Communications, 65 (9), pp. 3750 - 3764.|
|Abstract: ||We propose techniques for optimizing transmit beamforming in a full-duplex multiple-input-multiple-output wireless-powered communication system, which consists of two phases. In the first phase, the wireless-powered mobile station (MS) harvests energy using signals from the base station (BS), whereas in the second phase, both MS and BS communicate to each other in a full-duplex mode. When complete instantaneous channel state information (CSI) is available, the BS beamformer and the time-splitting (TS) parameter of energy harvesting are jointly optimized in order to obtain the BS-MS rate region. The joint optimization problem is non-convex, however, a computationally efficient optimum technique, based upon semidefinite relaxation and line-search, is proposed to solve the problem. A sub-optimum zero-forcing approach is also proposed, in which a closed-form solution of TS parameter is obtained. When only the second-order statistics of transmit CSI is available, we propose to maximize the ergodic information rate at the MS while maintaining the outage probability at the BS below a certain threshold. An upper bound for the outage probability is also derived and an approximate convex optimization framework is proposed for efficiently solving the underlying non-convex problem. Simulations demonstrate the advantages of the proposed methods over the sub-optimum and half-duplex ones.|
|Description: ||This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/|
|Sponsor: ||The work of G. Zheng was
supported by the UK EPSRC under grant number EP/N007840/1. The work of
G. K. Karagiannidis has been supported by the “Research Projects for Excellence
|Publisher Link: ||https://doi.org/10.1109/TCOMM.2017.2710196|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.