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Learning-Based Antenna Selection for Multicasting

Abstract: 

In multi-antenna systems, it is preferred to activate only a subset of the available transmit antennas in order to save hardware and energy resources, without seriously degrading the system performance. However, antenna selection often poses very hard optimization problems. Joint multicast beamforming and antenna selection is one particular example, which is often approached by Semi-Definite Relaxation (SDR) type approximations. The drawback is that SDR lifts the problem to a much higher dimension, leading to considerably high memory and computational complexities. In this paper, we propose a machine learning based approach to circumvent the complexity issues. Specifically, we propose a neural network-based approach that aims at selecting a subset of antennas that maximizes the minimum signal to noise ratio at the receivers. The idea is to learn a mapping function (represented by a neural network) that maps channel realizations to antenna selection solutions from massive simulated data. This way, the computational burden of antenna selection can be shifted to off-line neural network training. Experiments demonstrate the efficacy of the proposed machine learning approach relative to the prior state-of-art.

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Paper Details

Authors:
Mohamed S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos
Submitted On:
24 June 2018 - 12:17pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Mohamed S. Ibrahim
Paper Code:
NNAS-TA.S1
Document Year:
2018
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Document Files

NN_Poster_SP18.pdf

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[1] Mohamed S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos, "Learning-Based Antenna Selection for Multicasting", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3322. Accessed: Sep. 20, 2018.
@article{3322-18,
url = {http://sigport.org/3322},
author = {Mohamed S. Ibrahim; Ahmed S. Zamzam; Xiao Fu; Nicholas D. Sidiropoulos },
publisher = {IEEE SigPort},
title = {Learning-Based Antenna Selection for Multicasting},
year = {2018} }
TY - EJOUR
T1 - Learning-Based Antenna Selection for Multicasting
AU - Mohamed S. Ibrahim; Ahmed S. Zamzam; Xiao Fu; Nicholas D. Sidiropoulos
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3322
ER -
Mohamed S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos. (2018). Learning-Based Antenna Selection for Multicasting. IEEE SigPort. http://sigport.org/3322
Mohamed S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos, 2018. Learning-Based Antenna Selection for Multicasting. Available at: http://sigport.org/3322.
Mohamed S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos. (2018). "Learning-Based Antenna Selection for Multicasting." Web.
1. Mohamed S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, Nicholas D. Sidiropoulos. Learning-Based Antenna Selection for Multicasting [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3322