Information and multiaccess interference in a complexity-constrained vector channel

Rodrigo De Miguel, Ori Shental, Ralf R. Müller, Ido Kanter

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


A noisy vector channel operating under a strict complexity constraint at the receiver is introduced. According to this constraint, detected bits, obtained by performing hard decisions directly on the channel's matched filter output, must be the same as the transmitted binary inputs. An asymptotic analysis is carried out using mathematical tools imported from the study of neural networks, and it is shown that, under a bounded noise assumption, such complexity-constrained channel exhibits a non-trivial Shannon-theoretic capacity. It is found that performance relies on rigorous interference-based multiuser cooperation at the transmitter and that this cooperation is best served when all transmitters use the same amplitude.

Original languageEnglish
Article number002
Pages (from-to)5241-5260
Number of pages20
JournalJournal of Physics A: Mathematical and Theoretical
Issue number20
StatePublished - 18 May 2007


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