Abstract
Non-Orthogonal Multiple Access (NOMA) is the most prominent technology that enhances massive connectivity and spectral efficiency in 5G cellular communication. It provides services to the multi-users in time, frequency, and code domain with significant power level. Message Passing Algorithm (MPA) detection in a multi-user uplink grant-free system requires user activity information at the receiver that makes it impractical. To circumvent this problem, (MPA) is combined with Compressed Sensing (CS) based detection which not only detects the user activity but also the signal data. However, the Compressive Sampling Matching pursuit (CoSaMP) algorithm uses Zero Forcing (ZF) detector to estimate the signal but its performance degrades with increment in Signal to Noise Ratio (SNR). Therefore, Minimum Mean Square Error (MMSE) detector in CoSaMP algorithm is deployed in this paper that enhances detection accuracy and BER performance. The simulation results validate that the proposed algorithm attains better performance than MPA and conventional CoSaMP algorithm in high SNR.
Highlights
In the era of mobile communication, multiple access technology such as Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Orthogonal Frequency Domain Multiple Access (OFDMA) are the most prominent schemes of the conventional Orthogonal Multiple Access (OMA) which are used to distinguish all generations from 1G to 4G [1]
Compressed Sensing (CS) provide the service of user activity to Message Passing Algorithm (MPA) that makes output of compressed sensing algorithm to become input to the MPA. This algorithm is represented by the factor graph and it is known as Low Density Parity Check (LDPC) codes and this name have been assigned to it because each parity check is only connected to a small number of code word bits [19, 20]
This paper addresses the problem of MUD at the BS for estimating user activity and data
Summary
In the era of mobile communication, multiple access technology such as Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Orthogonal Frequency Domain Multiple Access (OFDMA) are the most prominent schemes of the conventional Orthogonal Multiple Access (OMA) which are used to distinguish all generations from 1G to 4G [1]. In order to continue to meet future communication needs and further improve system capacity and throughput, NOMA technology allows users to share time and frequency resources through power domain or code domain multiplexing [5]. In the grant free access mode, all www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 11, No 4, 2020 users are virtual in which users who do not send data are in the sleep state, and users who need to send data will enter the active state This granting strategy can significantly reduce the transmission delay and signaling load, simplify the physical layer design, reduce the node power consumption and equipment cost, and has a broad application prospect in largescale machine communication system.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
