Generating Functional Analysis for Iterative CDMA Multiuser Detectors
Kazushi Mimura, Masato Okada

TL;DR
This paper uses generating functional analysis to study the detection dynamics of iterative multiuser detectors in CDMA systems, revealing the asymptotic behavior and decoupling principles in large-system limits.
Contribution
It introduces a novel application of generating functional analysis to characterize the dynamics of various iterative CDMA multiuser detectors without message independence assumptions.
Findings
Detection dynamics characterized in large-system limit
Decoupling principle established for iterative detectors
Onsager reaction cancellation leads to Gaussian channels
Abstract
We investigate the detection dynamics of a soft parallel interference canceller (soft-PIC), which includes a hard-PIC as a special case, for code-division multiple-access (CDMA) multiuser detection, applied to a randomly spread, fully synchronous base-band uncoded CDMA channel model with additive white Gaussian noise under perfect power control in the large-system limit. We analyze the detection dynamics of some iterative detectors, namely soft-PIC, the Onsager-reaction-cancelling parallel interference canceller (ORC-PIC) and the belief-propagation-based detector (BP-based detector), by the generating functional analysis (GFA). The GFA allows us to study the asymptotic behavior of the dynamics in the infinitely large system without assuming the independence of messages. We study the detection dynamics and the stationary estimates of an iterative algorithm. We also show the decoupling…
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Taxonomy
TopicsWireless Communication Networks Research · Advanced Wireless Communication Techniques · Blind Source Separation Techniques
