2010 24th IEEE International Conference on Advanced Information Networking and Applications 2010
DOI: 10.1109/aina.2010.34
|View full text |Cite
|
Sign up to set email alerts
|

A Modified QRD-M Algorithm Based on Layer Branch Pruning for MIMO Systems

Abstract: In this paper, a low complexity Modified QRD-M (MQRD-M) algorithm based on limited tree search is proposed for MIMO systems. The sphere radius and candidate set of each branch are considered to reduce the computational complexity. The sphere radius is efficiently acquired through the QRD detection based on pruning off unnecessary survival branches at each layer. Moreover, the candidate set of each branch is used to cut down the metric computation for it is much smaller than modulation set. Simulation results s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2018
2018

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 9 publications
0
2
0
Order By: Relevance
“…Furthermore, from Figures 2 and 3, the optimal is equal to modulation order |Ω| plus 1 to achieve near-ML performance. However, from [21], the original QRD-M accomplishes the near-ML performance when is equal to modulation order in the conventional MIMO systems.…”
Section: Numerical Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, from Figures 2 and 3, the optimal is equal to modulation order |Ω| plus 1 to achieve near-ML performance. However, from [21], the original QRD-M accomplishes the near-ML performance when is equal to modulation order in the conventional MIMO systems.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The QRD-M algorithm [19][20][21] can be directly applied to GSM systems by adding a zero as a constellation point in constellation set Ω to form the constellation set Ω 0 = Ω ∪ {0}. Based on QRD of channel matrix H = QR with Q and R denoting × unitary matrix and × upper triangular matrix, respectively, the QRD-M detector for GSM signals is formulated bŷ…”
Section: The Qrd-m Algorithm For Gsm Detectionmentioning
confidence: 99%