Capacity Maximizing Linear Space-Time Codes
Summary :
Spatial multiplexing, or BLAST, is a signaling technique for multiple-input multiple-output (MIMO) channels in which multiple independent data streams are transmitted in parallel in space. The independence between streams, unfortunately, limits the diversity advantage. In this paper we present a space-time code design, using the linear dispersion code framework, for MIMO Rayleigh fading channels. Our design provides codes that have the same ergodic capacity performance as spatial multiplexing but allows for improved diversity advantage. We present a technique for finding good codes based on successive projection. Monte Carlo simulations illustrate performance improvements over spatial multiplexing in terms of bit error probability.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E85-C No.3 pp.428-435
- Publication Date
- 2002/03/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Signals, Systems and Electronics Technology)
- Category
- Digital Transmission
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Robert W. HEATH, Jr. , Arogyaswami J. PAULRAJ, "Capacity Maximizing Linear Space-Time Codes" in IEICE TRANSACTIONS on Electronics,
vol. E85-C, no. 3, pp. 428-435, March 2002, doi: .
Abstract: Spatial multiplexing, or BLAST, is a signaling technique for multiple-input multiple-output (MIMO) channels in which multiple independent data streams are transmitted in parallel in space. The independence between streams, unfortunately, limits the diversity advantage. In this paper we present a space-time code design, using the linear dispersion code framework, for MIMO Rayleigh fading channels. Our design provides codes that have the same ergodic capacity performance as spatial multiplexing but allows for improved diversity advantage. We present a technique for finding good codes based on successive projection. Monte Carlo simulations illustrate performance improvements over spatial multiplexing in terms of bit error probability.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e85-c_3_428/_p
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@ARTICLE{e85-c_3_428,
author={Robert W. HEATH, Jr. , Arogyaswami J. PAULRAJ, },
journal={IEICE TRANSACTIONS on Electronics},
title={Capacity Maximizing Linear Space-Time Codes},
year={2002},
volume={E85-C},
number={3},
pages={428-435},
abstract={Spatial multiplexing, or BLAST, is a signaling technique for multiple-input multiple-output (MIMO) channels in which multiple independent data streams are transmitted in parallel in space. The independence between streams, unfortunately, limits the diversity advantage. In this paper we present a space-time code design, using the linear dispersion code framework, for MIMO Rayleigh fading channels. Our design provides codes that have the same ergodic capacity performance as spatial multiplexing but allows for improved diversity advantage. We present a technique for finding good codes based on successive projection. Monte Carlo simulations illustrate performance improvements over spatial multiplexing in terms of bit error probability.},
keywords={},
doi={},
ISSN={},
month={March},}
Copy
TY - JOUR
TI - Capacity Maximizing Linear Space-Time Codes
T2 - IEICE TRANSACTIONS on Electronics
SP - 428
EP - 435
AU - Robert W. HEATH
AU - Jr.
AU - Arogyaswami J. PAULRAJ
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E85-C
IS - 3
JA - IEICE TRANSACTIONS on Electronics
Y1 - March 2002
AB - Spatial multiplexing, or BLAST, is a signaling technique for multiple-input multiple-output (MIMO) channels in which multiple independent data streams are transmitted in parallel in space. The independence between streams, unfortunately, limits the diversity advantage. In this paper we present a space-time code design, using the linear dispersion code framework, for MIMO Rayleigh fading channels. Our design provides codes that have the same ergodic capacity performance as spatial multiplexing but allows for improved diversity advantage. We present a technique for finding good codes based on successive projection. Monte Carlo simulations illustrate performance improvements over spatial multiplexing in terms of bit error probability.
ER -
English
