Performance Improvement of Iterative Multiuser Detection for Large Sparsely-Spread CDMA Systems by Spatial Coupling
Keigo Takeuchi, Toshiyuki Tanaka, and Tsutomu Kawabata

TL;DR
This paper demonstrates that applying spatial coupling to large sparsely-spread CDMA systems enhances the performance of iterative multiuser detection, achieving near-optimal detection levels and significantly reducing bit error rates in high load scenarios.
Contribution
It extends the concept of spatial coupling from LDPC codes to CDMA systems, showing improved iterative detection performance through density evolution analysis and simulations.
Findings
Spatial coupling improves iterative detection performance.
Performance approaches symbol-wise MAP detection.
Significant BER reduction in high load systems.
Abstract
Kudekar et al. proved that the belief-propagation (BP) performance for low-density parity check (LDPC) codes can be boosted up to the maximum-a-posteriori (MAP) performance by spatial coupling. In this paper, spatial coupling is applied to sparsely-spread code-division multiple-access (CDMA) systems to improve the performance of iterative multiuser detection based on BP. Two iterative receivers based on BP are considered: One receiver is based on exact BP and the other on an approximate BP with Gaussian approximation. The performance of the two BP receivers is evaluated via density evolution (DE) in the dense limit after taking the large-system limit, in which the number of users and the spreading factor tend to infinity while their ratio is kept constant. The two BP receivers are shown to achieve the same performance as each other in these limits. Furthermore, taking a continuum limit…
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