DocumentCode
3409918
Title
Distributed reception with coarsely-quantized observation exchanges
Author
Brown, D. Richard ; Min Ni ; Madhow, Upamanyu ; Bidigare, Patrick
Author_Institution
Dept. of Electr. & Comput. Eng., Worcester Polytech. Inst., Worcester, MA, USA
fYear
2013
fDate
20-22 March 2013
Firstpage
1
Lastpage
6
Abstract
This paper considers the problem of jointly decoding binary phase shift keyed (BPSK) messages from a single distant transmitter to a cooperative receive cluster connected by a local area network (LAN). A distributed reception technique is proposed based on the exchange of coarsely-quantized observations among some or all of the nodes in the receive cluster. By taking into account the differences in channel quality across the receive cluster, the quantized information from other nodes in the receive cluster can be appropriately combined with locally unquantized information to form aggregate posterior likelihoods for the received bits. The LAN throughput requirements of this technique are derived as a function of the number of participating nodes in the receive cluster, the forward link code rate, and the quantization parameters. Using information theoretic analysis and simulations of an LDPC coded system in fading channels, numerical results show that the performance penalty (in terms of outage probability and block error rate with respect to ideal receive beamforming) due to coarse quantization is small in the low SNR regimes enabled by cooperative distributed reception.
Keywords
decoding; fading channels; local area networks; message passing; parity check codes; phase shift keying; radio links; radio transmitters; BPSK message decoding; LAN; LDPC coded system; SNR; binary phase shift keyed message decoding; block error rate; channel quality; coarsely-quantized observation exchange; cooperative distributed reception technique; cooperative receive cluster; distributed reception technique; fading channel; local area network; outage probability; quantization parameter; transmitter; Array signal processing; Decoding; Local area networks; Quantization (signal); Receivers; Signal to noise ratio; Throughput; Distributed reception; likelihood combining; quantization; receive beamforming;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems (CISS), 2013 47th Annual Conference on
Conference_Location
Baltimore, MD
Print_ISBN
978-1-4673-5237-6
Electronic_ISBN
978-1-4673-5238-3
Type
conf
DOI
10.1109/CISS.2013.6624254
Filename
6624254
Link To Document