Journal article
Generalisation of code division multiple access systems and derivation of new bounds for the sum capacity
IET communications, Vol.8(2), pp.153-162
01/2014
DOI: 10.1049/iet-com.2013.0344
Abstract
In this study, the authors explore a generalised scheme for the synchronous code division multiple access (CDMA). In this scheme, unlike the standard CDMA systems, each user has different codewords for communicating different messages. Two main problems are investigated. The first problem concerns whether uniquely detectable overloaded matrices (an injective matrix, i.e. the inputs and outputs are in one‐to‐one correspondence depending on the input alphabets) exist in the absence of additive noise, and if so, whether there are any practical optimum detectors for such input codewords. The second problem is about finding tight bounds for the sum channel capacity. In response to the first problem, the authors have constructed uniquely detectable matrices for the generalised scheme and the authors have developed practical maximum likelihood detection algorithms for such codes. In response to the second problem, lower bounds and conjectured upper bounds are derived. The results of this study are superior to other standard overloaded CDMA codes since the generalisation can support more users than the previous schemes.
Details
- Title: Subtitle
- Generalisation of code division multiple access systems and derivation of new bounds for the sum capacity
- Creators
- Shayan Dashmiz - London School of Economics and Political ScienceMohammad Reza Takapoui - Samford UniversitySajjad Moazeni - University of California, BerkeleyMehrdad Moharrami - Sharif University of TechnologyMelika Abolhasani - University of MarylandFarokh Marvasti - Sharif University of Technology
- Resource Type
- Journal article
- Publication Details
- IET communications, Vol.8(2), pp.153-162
- DOI
- 10.1049/iet-com.2013.0344
- ISSN
- 1751-8628
- eISSN
- 1751-8636
- Publisher
- The Institution of Engineering and Technology
- Number of pages
- 10
- Grant note
- INSF (Iran National Science Foundation)
- Language
- English
- Date published
- 01/2014
- Academic Unit
- Computer Science
- Record Identifier
- 9984446278002771
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