Combined Asterism and Sphere decoder for large Asymmetric MIMO systems

Phillip Conder, Tadeusz A. Wysocki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The area of Multiple Input Multiple Output (MIMO) communications systems has received enormous attention recently as they can provide a roughly linear increase in data rate by using Multiple Transmit and Receive antennas. The optimal detection strategy for a MIMO receiver is to perform a Maximum-Likelihood (ML) search over all possible transmitted symbol combinations which has an exponential complexity when the constellation size of number of transmit antennas increase. Sphere and Asterism decoders are schemes that achieved ML performance for MIMO systems, but both have shortcomings in computational complexity, Sphere decoding when nt > nr and Asterism when nt < nr. This paper combines Asterism and Sphere decoding for Asymmetric MIMO systems to reduce the overall computational complexity for any number of antennas.

Original languageEnglish (US)
Title of host publication2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Pages73-76
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication - Princeton, NJ, United States
Duration: Apr 18 2005Apr 19 2005

Publication series

Name2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Volume2005

Conference

Conference2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
CountryUnited States
CityPrinceton, NJ
Period4/18/054/19/05

Fingerprint

Antennas
Maximum likelihood
Decoding
Computational complexity
Communication systems

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Conder, P., & Wysocki, T. A. (2005). Combined Asterism and Sphere decoder for large Asymmetric MIMO systems. In 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication (pp. 73-76). [1426515] (2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication; Vol. 2005). https://doi.org/10.1109/SARNOF.2005.1426515

Combined Asterism and Sphere decoder for large Asymmetric MIMO systems. / Conder, Phillip; Wysocki, Tadeusz A.

2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication. 2005. p. 73-76 1426515 (2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Conder, P & Wysocki, TA 2005, Combined Asterism and Sphere decoder for large Asymmetric MIMO systems. in 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication., 1426515, 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, vol. 2005, pp. 73-76, 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, Princeton, NJ, United States, 4/18/05. https://doi.org/10.1109/SARNOF.2005.1426515
Conder P, Wysocki TA. Combined Asterism and Sphere decoder for large Asymmetric MIMO systems. In 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication. 2005. p. 73-76. 1426515. (2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication). https://doi.org/10.1109/SARNOF.2005.1426515
Conder, Phillip ; Wysocki, Tadeusz A. / Combined Asterism and Sphere decoder for large Asymmetric MIMO systems. 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication. 2005. pp. 73-76 (2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication).
@inproceedings{a57e9c31f32444f5867943d31f70d4fd,
title = "Combined Asterism and Sphere decoder for large Asymmetric MIMO systems",
abstract = "The area of Multiple Input Multiple Output (MIMO) communications systems has received enormous attention recently as they can provide a roughly linear increase in data rate by using Multiple Transmit and Receive antennas. The optimal detection strategy for a MIMO receiver is to perform a Maximum-Likelihood (ML) search over all possible transmitted symbol combinations which has an exponential complexity when the constellation size of number of transmit antennas increase. Sphere and Asterism decoders are schemes that achieved ML performance for MIMO systems, but both have shortcomings in computational complexity, Sphere decoding when nt > nr and Asterism when nt < nr. This paper combines Asterism and Sphere decoding for Asymmetric MIMO systems to reduce the overall computational complexity for any number of antennas.",
author = "Phillip Conder and Wysocki, {Tadeusz A.}",
year = "2005",
month = "12",
day = "1",
doi = "10.1109/SARNOF.2005.1426515",
language = "English (US)",
isbn = "0780388542",
series = "2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication",
pages = "73--76",
booktitle = "2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication",

}

TY - GEN

T1 - Combined Asterism and Sphere decoder for large Asymmetric MIMO systems

AU - Conder, Phillip

AU - Wysocki, Tadeusz A.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - The area of Multiple Input Multiple Output (MIMO) communications systems has received enormous attention recently as they can provide a roughly linear increase in data rate by using Multiple Transmit and Receive antennas. The optimal detection strategy for a MIMO receiver is to perform a Maximum-Likelihood (ML) search over all possible transmitted symbol combinations which has an exponential complexity when the constellation size of number of transmit antennas increase. Sphere and Asterism decoders are schemes that achieved ML performance for MIMO systems, but both have shortcomings in computational complexity, Sphere decoding when nt > nr and Asterism when nt < nr. This paper combines Asterism and Sphere decoding for Asymmetric MIMO systems to reduce the overall computational complexity for any number of antennas.

AB - The area of Multiple Input Multiple Output (MIMO) communications systems has received enormous attention recently as they can provide a roughly linear increase in data rate by using Multiple Transmit and Receive antennas. The optimal detection strategy for a MIMO receiver is to perform a Maximum-Likelihood (ML) search over all possible transmitted symbol combinations which has an exponential complexity when the constellation size of number of transmit antennas increase. Sphere and Asterism decoders are schemes that achieved ML performance for MIMO systems, but both have shortcomings in computational complexity, Sphere decoding when nt > nr and Asterism when nt < nr. This paper combines Asterism and Sphere decoding for Asymmetric MIMO systems to reduce the overall computational complexity for any number of antennas.

UR - http://www.scopus.com/inward/record.url?scp=33746586237&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33746586237&partnerID=8YFLogxK

U2 - 10.1109/SARNOF.2005.1426515

DO - 10.1109/SARNOF.2005.1426515

M3 - Conference contribution

AN - SCOPUS:33746586237

SN - 0780388542

SN - 9780780388543

T3 - 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication

SP - 73

EP - 76

BT - 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication

ER -