Imperial College London
Alternate

ProfessorAthanassiosManikas

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Communications and Array Processing
 
 
 
//

Contact

 

+44 (0)20 7594 6266a.manikas Website

 
 
//

Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
//

Location

 

801Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Sridhar:2016:10.1109/TWC.2016.2610974,
author = {Sridhar, V and Gabillard, T and Manikas, A},
doi = {10.1109/TWC.2016.2610974},
journal = {IEEE Transactions on Wireless Communications},
pages = {8025--8038},
title = {Spatiotemporal-MIMO channel estimator and beamformer for 5G},
url = {http://dx.doi.org/10.1109/TWC.2016.2610974},
volume = {15},
year = {2016}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - With requirements of spiraling data rates and limited spectrum availability, there is an increased interest in mm-wave beamformer-based communications for 5G. For upcoming cellular networks, the critical point is to exploit the increased number of employable antennas at both Tx and Rx to: 1) combat increased path loss; 2) tackle higher interference due to higher user density; and 3) handle multipath effects in frequency selective channels. Toward this, a multi-beam spatiotemporal superresolution beamforming framework is proposed in this paper as a promising candidate to design beampatterns that mitigate/suppress co-channel interference and deliver massive gain in the desired directions. Initially, channel and signal models suitable for the mm-wave MIMO system are presented using the manifold vectors of both Tx and Rx antenna arrays. Based on these models, a novel subspace-based channel estimator is employed, which estimates delays, directions, velocities, and fading coefficients of the desired signal paths. This information is then exploited by the proposed spatiotemporal beamformer to provide a massive array gain that combats path loss without increasing the number of antenna array elements and to be tolerant to the near-far problem in a high interference environment. The performance of the proposed channel estimator and beamformer is examined using computer simulation studies.
AU  - Sridhar,V
AU  - Gabillard,T
AU  - Manikas,A
DO  - 10.1109/TWC.2016.2610974
EP  - 8038
PY  - 2016///
SN  - 1536-1276
SP  - 8025
TI  - Spatiotemporal-MIMO channel estimator and beamformer for 5G
T2  - IEEE Transactions on Wireless Communications
UR  - http://dx.doi.org/10.1109/TWC.2016.2610974
UR  - https://ieeexplore.ieee.org/document/7571183
UR  - http://hdl.handle.net/10044/1/40374
VL  - 15
ER  -
Download