![]() Kalantari, Ashkan ![]() ![]() ![]() in MIMO directional modulation M-QAM precoding for transceivers performance enhancement. (2017) Detailed reference viewed: 168 (1 UL)![]() Kalantari, Ashkan ![]() ![]() ![]() in Spatial peak power minimization for relaxed phase M-PSK MIMO directional modulation transmitter (2017) Detailed reference viewed: 127 (0 UL)![]() Soltanalian, Mojtaba ![]() ![]() ![]() in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2016 (2016, March 20) In this paper, we present an optimization framework for designing precoding (a.k.a. beamforming) signals that are instrumental in achieving a fair user performance through the networks. The precoding ... [more ▼] In this paper, we present an optimization framework for designing precoding (a.k.a. beamforming) signals that are instrumental in achieving a fair user performance through the networks. The precoding design problem in such scenarios can typically be formulated as a non-convex max-min fractional quadratic program. Using a penalized version of the original design problem, we derive a simplified quadratic reformulation of the problem in terms of the signal (to be designed). Each iteration of the proposed design framework consists of a combination of power method-like iterations and the Gram-Schmidt process, and as a result, enjoys a low computational cost. Moreover, the suggested approach can handle various types of signal constraints such as total-power, per-antenna power, unimodularity, or discrete-phase requirements—an advantage which is not shared by other existing approaches in the literature. [less ▲] Detailed reference viewed: 224 (16 UL) |
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