Deep learning-based limited feedback designs for MIMO systems
We study a deep learning (DL) based limited feedback methods for multi-antenna systems.
Deep neural networks (DNNs) are introduced to replace an end-to-end limited feedback …
Deep neural networks (DNNs) are introduced to replace an end-to-end limited feedback …
Star-QAM signaling constellations for spatial modulation
The performance of spatial modulation (SM)-assisted multiple-input–multiple-output (MIMO)
communication systems is highly dependent on the specific amplitude/phase modulation …
communication systems is highly dependent on the specific amplitude/phase modulation …
On directional modulation: An analysis of transmission scheme with multiple directions
Increasing the spectral efficiency was always the motivation behind the evolution of wireless
communication systems. Also, due to the widespread usage of wireless systems, securing …
communication systems. Also, due to the widespread usage of wireless systems, securing …
Impacts of impulsive noise from partial discharges on wireless systems performance: application to MIMO precoders
To satisfy the smart grid electrical network, communication systems in high-voltage
substations have to be installed in order to control equipments. Considering that those …
substations have to be installed in order to control equipments. Considering that those …
On the throughput of MIMO-empowered multihop cognitive radio networks
Cognitive radio (CR) and multiple-input multiple-output (MIMO) are two independent
physical layer technologies that have made significant impact on wireless networking. CR …
physical layer technologies that have made significant impact on wireless networking. CR …
Precoding designs based on minimum distance for two-way relaying MIMO systems with physical network coding
In this paper, we propose new precoding methods for two-way multiple input multiple output
physical network coding (PNC) systems which employ the modulo operation. In our work …
physical network coding (PNC) systems which employ the modulo operation. In our work …
Performance analysis of closed-loop MIMO precoder based on the probability of minimum distance
Linear closed-loop MIMO precoders are attractive owing to their scalability. They can
significantly improve the received signal via optimization of pertinent criterion. The solution …
significantly improve the received signal via optimization of pertinent criterion. The solution …
3-D minimum Euclidean distance based sub-optimal precoder for MIMO spatial multiplexing systems
This paper proposes an efficient sub-optimal MIMO linear precoder based on the
maximization of minimum distance for three virtual suchannels. A new virtual MIMO channel …
maximization of minimum distance for three virtual suchannels. A new virtual MIMO channel …
Optimal resource allocation for Medium Grain Scalable video transmission over MIMO channels
W Hamidouche, C Olivier, Y Pousset… - Journal of visual …, 2013 - Elsevier
In this paper we investigate an optimal solution for adaptive H. 264/SVC video transmission
over Multiple-Input Multiple-Output (MIMO) channels. We first write the end-to-end distortion …
over Multiple-Input Multiple-Output (MIMO) channels. We first write the end-to-end distortion …
Simplified maximum-likelihood precoder selection for spatial multiplexing systems
In this paper, we consider a precoder selection criterion for the maximum-likelihood (ML)
detector in limited-feedback spatial multiplexing systems. The exhaustive search for the …
detector in limited-feedback spatial multiplexing systems. The exhaustive search for the …