Dataset for Hybrid beamforming in mm-wave MIMO systems having a finite input alphabet
Dataset for Hybrid beamforming in mm-wave MIMO systems having a finite input alphabet
Recently, there has been significant research effort towards achieving high data rates in the millimeter wave bands by employing large antenna systems. These systems are considered to have only a fraction of the RF chains compared to the total number of antennas and employ analog phase shifters to steer the transmit and receive beams in addition to the conventional beamforming/combining invoked in the baseband domain. This scheme, which is popularly known as hybrid beamforming, has been extensively studied in the literature. To the best of our knowledge, all the existing schemes focus on obtaining the beamforming/combining matrices that maximize the system capacity computed using a Gaussian input alphabet. However, this choice of matrices may be suboptimal for practical systems, since they employ a finite input alphabet, such as QAM/PSK constellations. Hence, in this paper, we consider a hybrid beamforming/combining system operating with a finite input alphabet and optimize the analog as well as digital beamforming/combining matrices by maximizing the mutual information (MI). This is achieved by an iterative gradient ascent algorithm that exploits the relationship between the minimum mean-squared error and the MI. Furthermore, an iterative algorithm is proposed for designing a codebook for the analog and digital beamforming/combining matrices based on a vector quantization approach. Our simulation results demonstrate that the proposed gradient ascent algorithm achieves an ergodic rate improvement of up to 0.4 bits per channel use (bpcu) compared to the Gaussian input scenario. Furthermore, the gain in the ergodic rate achieved by employing the vector quantization based codebook is about 0.5 bpcu compared to the Gaussian input scenario.
University of Southampton
Mysore Rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mysore Rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mysore Rajashekar, Rakshith and Hanzo, Lajos
(2016)
Dataset for Hybrid beamforming in mm-wave MIMO systems having a finite input alphabet.
University of Southampton
doi:10.5258/SOTON/396814
[Dataset]
Abstract
Recently, there has been significant research effort towards achieving high data rates in the millimeter wave bands by employing large antenna systems. These systems are considered to have only a fraction of the RF chains compared to the total number of antennas and employ analog phase shifters to steer the transmit and receive beams in addition to the conventional beamforming/combining invoked in the baseband domain. This scheme, which is popularly known as hybrid beamforming, has been extensively studied in the literature. To the best of our knowledge, all the existing schemes focus on obtaining the beamforming/combining matrices that maximize the system capacity computed using a Gaussian input alphabet. However, this choice of matrices may be suboptimal for practical systems, since they employ a finite input alphabet, such as QAM/PSK constellations. Hence, in this paper, we consider a hybrid beamforming/combining system operating with a finite input alphabet and optimize the analog as well as digital beamforming/combining matrices by maximizing the mutual information (MI). This is achieved by an iterative gradient ascent algorithm that exploits the relationship between the minimum mean-squared error and the MI. Furthermore, an iterative algorithm is proposed for designing a codebook for the analog and digital beamforming/combining matrices based on a vector quantization approach. Our simulation results demonstrate that the proposed gradient ascent algorithm achieves an ergodic rate improvement of up to 0.4 bits per channel use (bpcu) compared to the Gaussian input scenario. Furthermore, the gain in the ergodic rate achieved by employing the vector quantization based codebook is about 0.5 bpcu compared to the Gaussian input scenario.
Archive
Data_set.tar.gz
- Dataset
More information
Published date: 2016
Organisations:
Southampton Wireless Group
Projects:
Cooperative Classical and Quantum Communications Systems
Funded by: UNSPECIFIED (EP/L018659/1)
31 October 2014 to 30 October 2017
Cooperative backhaul aided next-generation digital subscriber loops
Funded by: UNSPECIFIED (EP/N004558/1)
13 October 2015 to 12 October 2018
Identifiers
Local EPrints ID: 396814
URI: http://eprints.soton.ac.uk/id/eprint/396814
PURE UUID: cb979fc4-ec5a-4860-93ba-570098582367
Catalogue record
Date deposited: 15 Jun 2016 13:48
Last modified: 05 Nov 2023 02:32
Export record
Altmetrics
Contributors
Creator:
Rakshith Mysore Rajashekar
Creator:
Lajos Hanzo
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics