DocumentCode :
346000
Title :
Processing of wireless signals to preserve wireline network resources
Author :
Médard, Muriel
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
fYear :
1999
fDate :
1999
Firstpage :
61
Abstract :
In order increase the capacity in the wireless domain, the signals from several distributed receivers may be combined. The combining of these signals typically requires transmission over a wireline network. In the wireline domain, signals may be transmitted to a single centralized processing node or may be processed in a distributed fashion at several nodes in the network. We compare, for white Gaussian noise channels, the capacity gains that can be obtained from distributed processing of wireline signals to the capacity gains obtained using maximum likelihood ratio combining at a single processing node. We find that, by using optimal detection techniques, the bandwidth requirements in the wireline domain can be significantly reduced without reducing the capacity in the wireless domain. These gains in capacity are achieved by eliminating transmission of redundant information in the wireline network
Keywords :
AWGN channels; channel capacity; distributed processing; fading channels; land mobile radio; radio receivers; signal detection; signal processing; additive white Gaussian noise channels; bandwidth requirements; centralized processing node; distributed processing; distributed receivers; fading; maximum likelihood ratio combining; mobile radio; optimal detection; wireless capacity; wireless signals processing; wireline network; wireline network resources; AWGN; Bandwidth; Channel capacity; Distributed processing; Fading; Gaussian noise; Maximum likelihood detection; Receiving antennas; Signal processing; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE
Conference_Location :
New Orleans, LA
ISSN :
1525-3511
Print_ISBN :
0-7803-5668-3
Type :
conf
DOI :
10.1109/WCNC.1999.797786
Filename :
797786
Link To Document :
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