0000000000543914

AUTHOR

Sanjeev Sharma

showing 2 related works from this author

Low‐complexity detection for uplink massive MIMO SCMA systems

2020

Paid Open Access UNIT agreement

Low complexityComputer architectureComputer scienceMIMOTelecommunications linkElectrical and Electronic EngineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer Science ApplicationsIET Communications
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Design of SCMA Codebooks using Differential Evolution

2020

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…

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 ProcessingEncoder2020 IEEE International Conference on Communications Workshops (ICC Workshops)
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