Boosting MMSE receivers using AdaBoost

Dabeer, Onkar and Nagaraja, Srinidhi and Chockalingam, A (2013) Boosting MMSE receivers using AdaBoost. In: IEEE 78th Vehicular Technology Conference (VTC Fall), SEP 02-05, 2013, Las Vegas, NV.

PDF 78th_IEEE_Veh_Tec_Con_2013.pdf - Published Version Restricted to Registered users only Download (159kB) | Request a copy

Abstract

MIMO systems with several antennas at the transmitter and receiver have the potential to enable high throughputs. One of the challenges in realizing this potential is the design of receivers that scale in terms of computation and performance. Towards this end, in this paper, we propose a receiver that uses a committee of linear receivers, whose parameters are estimated from training data using a variant of the AdaBoost algorithm, a celebrated supervised classification algorithm in machine learning. We call our receiver boosted MMSE (B-MMSE) receiver and we study its performance via simulations. The channel matrix is estimated from the pilot using the MMSE technique. We find that for a 4 x 4 system with a Rayleigh fading channel, using BPSK at a bit error rate (BER) of 10(-2), our receiver using the estimated channel matrix needs 2 dB less power than the plain MMSE receiver based on the estimated channel matrix. On an average, excluding the training phase, the receiver complexity equals 1.25 linear receivers. Thus the B-MMSE receiver is slightly more complex than the MMSE receiver and substantially less complex than the maximum-likelihood receiver. We also show that the coded BER performance with an outer rate-3/4 Turbo-code has a gain of 5 dB at 10(-4) coded BER when the demodulated output from the proposed method is used in place of plain MMSE detection with MMSE estimated channel.

Item Type:	Conference Proceedings
Series.:	IEEE Vehicular Technology Conference Proceedings
Publisher:	IEEE
Additional Information:	Copy right for this article belongs to the IEEE 78th Vehicular Technology Conference (VTC Fall), Las Vegas, NV, SEP 02-05, 2013
Keywords:	AdaBoost;statistical boosting;MIMO detection;MMSE receiver;boosted-MMSE;machine learning
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	19 Aug 2016 10:24
Last Modified:	19 Aug 2016 10:24
URI:	http://eprints.iisc.ac.in/id/eprint/54415

Actions (login required)

View Item