6533b863fe1ef96bd12c7885

RESEARCH PRODUCT

Design of SCMA Codebooks using Differential Evolution

Minerva PriyadarsiniSanjeev SharmaKuntal DekaBaltasar Beferull-lozano

subject

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer scienceWireless networkInformation Theory (cs.IT)Computer Science - Information Theory05 social sciencesMessage passingDetector050801 communication & media studiesmedicine.diseaseNoma0508 media and communicationsComputer engineeringDifferential evolution0502 economics and businessFOS: Electrical engineering electronic engineering information engineeringmedicineCode (cryptography)050211 marketingMinificationElectrical Engineering and Systems Science - Signal ProcessingEncoder

description

Non-orthogonal multiple access (NOMA) is a promising technology which meets the demands of massive connectivity in future wireless networks. Sparse code multiple access (SCMA) is a popular code-domain NOMA technique. The effectiveness of SCMA comes from: (1) the multi-dimensional sparse codebooks offering high shaping gain and (2) sophisticated multi-user detection based on message passing algorithm (MPA). The codebooks of the users play the main role in determining the performance of SCMA system. This paper presents a framework to design the codebooks by taking into account the entire system including the SCMA encoder and the MPA-based detector. The symbol-error rate (SER) is considered as the design criterion which needs to be minimized. Differential evolution (DE) is used to carry out the minimization of the SER over the codebooks. The simulation results are presented for various channel models.

yearjournalcountryeditionlanguage
2020-03-072020 IEEE International Conference on Communications Workshops (ICC Workshops)
https://doi.org/10.1109/iccworkshops49005.2020.9145202