DocumentCode :
1631833
Title :
Computation over mismatched channels
Author :
Karamchandani, Nikhil ; Niesen, Urs ; Diggavi, Suhas
Author_Institution :
Dept. of EE, UCLA, Los Angeles, CA, USA
fYear :
2012
Firstpage :
1042
Lastpage :
1048
Abstract :
We consider the problem of distributed computation of a target function over a multiple-access channel. If the target and channel functions are matched (i.e., compute the same function), significant performance gains can be obtained by jointly designing the computation and communication tasks. However, in most situations there is mismatch between these two functions. In this work, we analyze the impact of this mismatch on the performance gains achievable with joint computation and communication designs over separation-based designs. We show that for most pairs of target and channel functions there is no such gain, and separation of computation and communication is optimal.
Keywords :
multi-access systems; telecommunication channels; channel functions; communication tasks; distributed computation; mismatched channels; separation-based designs; target functions; two-user multiple-access communication channel; Artificial intelligence; Decoding; Electronic mail; Joints; Performance gain; Receivers; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4673-4537-8
Type :
conf
DOI :
10.1109/Allerton.2012.6483333
Filename :
6483333
Link To Document :
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