Title
Reduced complexity multimode antenna selection with bit allocation for zero-forcing receiver
Abstract
In this paper, we investigate multimode antenna selection for zero forcing receiver to maximize the overall data rate. The optimal selection scenario can be achieved by exhaustive search. However, antenna selection using exhaustive search leads to complicated computational burden. To reduce the complexity, we propose a greedy search algorithm for antenna selection. Using the proposed algorithm, the computations can be greatly reduced while the achievable data rate is nearly the same with exhaustive search. Moreover, generally fixed bit budgets are used in practical design. Hence, we propose to use water-filling bit allocation to further improve the performance of the proposed antenna selection scheme. Simulation results are provided to show the advantages of the proposed multimode antenna selection with bit allocation.
Year
DOI
Venue
2012
10.1109/ICASSP.2012.6288531
ICASSP
Keywords
Field
DocType
greedy search algorithm,multimode antenna selection,zero-forcing receiver,exhaustive search,bit allocation,antenna arrays,computational complexity,mimo communication,optimal selection scenario,water-filling bit allocation,mimo systems,complexity reduction,vectors,mimo
Mathematical optimization,Brute-force search,Computer science,MIMO,Greedy algorithm,Bit allocation,Zero Forcing Equalizer,Multi-mode optical fiber,Computational complexity theory,Computation
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4673-0044-5
978-1-4673-0044-5
2
PageRank 
References 
Authors
0.38
1
3
Name
Order
Citations
PageRank
Wan-Chen Yeh120.38
Shang-ho Tsai218824.44
Pu-Hsuan Lin3212.19