DocumentCode :
1460728
Title :
Do Cooperative Radios Collide?
Author :
Rueetschi, Andrea ; Scaglione, Anna
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA, USA
Volume :
60
Issue :
4
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1020
Lastpage :
1032
Abstract :
When cooperative terminals transmit concurrently, the receiver experiences additional distortion by the presence of radios carrier offsets and time delays. With the inevitable inaccuracy in estimating the channel at the receiving end, is it realistic to assume that relays transmissions do not collide? To address this question, we provide an analytical framework to model the effect of channel estimation methods that treat the channel as deterministic and unknown, and derive the average symbol error rate (SER) of a maximum likelihood sequence decoder (MLSD) and of a linear minimum mean squared error (LMMSE) equalizer using such estimates. We select the appropriate architecture by mapping two different channel estimation techniques onto the proposed analytical framework, and derive their diversity gain. First we analyze the well known linear least square channel estimation (LLSE), then, we show how to cast a compressed channel sensing (CCS) method onto our analytical model, by a novel approximation of the estimator noise and modeling mismatch. We observe that the latter is the key bottleneck in LLSE whereas the CCS appears sufficiently flexible to deliver the promised gains. This conclusion shows that collisions models are overly pessimistic, but it also underscores the need for an advanced receiver synchronization design.
Keywords :
channel estimation; cooperative communication; diversity reception; error statistics; least mean squares methods; maximum likelihood decoding; radio receivers; telecommunication congestion control; wireless channels; LLSE; advanced receiver synchronization design; average symbol error rate; collision model; compressed channel sensing method; cooperative radios; cooperative terminal; diversity gain; estimator noise approximation; linear least square channel estimation method; linear minimum mean squared error equalizer; maximum likelihood sequence decoder; radio carrier offsets; relays transmission; time delays; Analytical models; Channel estimation; Decoding; Error analysis; Noise; Receivers; Relays; Cooperative communication; channel estimation; distributed space-time coding; diversity;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2012.022712.100556
Filename :
6162923
Link To Document :
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