Boosting MMSE receivers using AdaBoost

Dabeer, Onkar ; Nagaraja, Srinidhi ; Chockalingam, A. (2013) Boosting MMSE receivers using AdaBoost In: 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), 2-5 September 2013, Las Vegas, NV, USA.

Full text not available from this repository.

Official URL:

Related URL:


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 × 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 BMMSE 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 or Workshop Item (Paper)
Source:Copyright of this article belongs to Institute of Electrical and Electronics Engineers.
ID Code:102191
Deposited On:26 Mar 2017 16:56
Last Modified:26 Mar 2017 16:56

Repository Staff Only: item control page