English

Composite CDMA - A statistical mechanics analysis

Disordered Systems and Neural Networks 2015-05-13 v3 Statistical Mechanics Information Theory math.IT

Abstract

Code Division Multiple Access (CDMA) in which the spreading code assignment to users contains a random element has recently become a cornerstone of CDMA research. The random element in the construction is particular attractive as it provides robustness and flexibility in utilising multi-access channels, whilst not making significant sacrifices in terms of transmission power. Random codes are generated from some ensemble, here we consider the possibility of combining two standard paradigms, sparsely and densely spread codes, in a single composite code ensemble. The composite code analysis includes a replica symmetric calculation of performance in the large system limit, and investigation of finite systems through a composite belief propagation algorithm. A variety of codes are examined with a focus on the high multi-access interference regime. In both the large size limit and finite systems we demonstrate scenarios in which the composite code has typical performance exceeding sparse and dense codes at equivalent signal to noise ratio.

Keywords

Cite

@article{arxiv.0811.2403,
  title  = {Composite CDMA - A statistical mechanics analysis},
  author = {Jack Raymond and David Saad},
  journal= {arXiv preprint arXiv:0811.2403},
  year   = {2015}
}

Comments

23 pages, 11 figures, Sigma Phi 2008 conference submission - submitted to J.Stat.Mech

R2 v1 2026-06-21T11:41:50.361Z