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In this paper, we study spatial half-duplex, where an antenna array is partitioned such that a subset of antennas is used for transmission, and others for reception in the same time and frequency. We use transmit-precoders to partition the antennas and design optimal precoders under two approaches. In one approach, precoder minimizes self-interference, for fixed downlink-rate. In another approach,...
We provide an optimization of the performance of joint transmit precoding and transmit antenna selection for spatial modulation. We show that the joint optimization problem out-performs the separate optimization problem by up to 1 dB. The performance of different optimization schemes with varying computational complexity is simulated and we discuss their individual advantages.
We propose an efficient multiple-input multiple-output (MIMO) video broadcasting technique with low computational complexity that well serves different types of users residing inside the service area of a base station. We consider a video broadcasting scenario in which heterogeneous users with different display resolutions, different operating bit rates, and different numbers of receive antennas are...
Millimeter-wave (mmWave) cellular systems are a promising option for a very high data rate connectivity in near future because of the large bandwidths available at this range of frequencies. Communication at mm Waves, however, is quite challenging due to the large path-loss exponent compared with the traditional sub-6GHz counterpart. Directional beamforming with large antenna gains both at the user...
In this paper, we construct and comprehensively analyze a practical downlink (DL) multiuser (MU) multi-input-multi-output (MIMO) scheduling algorithm over LTE Advanced (LTE-A) massive MIMO cellular networks. We first design an efficient approximation algorithm to maximize the weighted sum rate subject to certain mandatory practical constraints, and prove that our algorithm can yield a meaningful approximation...
This paper introduces an iterative optimization framework to tackle the multi-group multicast Max-Min transmit beamforming problem. In each iteration, the optimization problem is decomposed into four sub-problems, all of which can be solved using computationally efficient algorithms. The advantage of proposed method lies in its ability to handle different types of signal constraints like total power...
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