Abstract
The Third Generation Partnership Project (3GPP) and the International Telecommunication Union (ITU) identified the technical requirements that the fifth generation of mobile communications networks (5G) had to meet; within these parameters are the following: an improved data rate and a greater number of users connected simultaneously. 5G uses non-orthogonal multiple access (NOMA) to increase the number of simultaneously connected users, and by encoding data it is possible to increase the spectral efficiency (SE). In this work, eight codewords are used to transmit three bits simultaneously using Sparse Code Multiple Access (SCMA), and through singular value decomposition (SVD) the Euclidean distance between constellation points is optimized. On the other hand, applications of machine intelligence and machine intelligence in 5G and beyond communication systems are still developing; in this sense, in this work we propose to use machine learning for detecting and decoding the SCMA codewords using neural networks. This paper focuses on the Use Case of enhanced mobile broadband (eMBB), where higher data rates are required, with a large number of users connected and low mobility. The simulation results show that it is possible to transmit three bits simultaneously with a low bit error rate (BER) using SVD-SCMA in the uplink channel. Our simulation results were compared against recent methods that use spatial modulation (SM) and antenna arrays in order to increase spectral efficiency. In adverse Signal-to-Noise Ratio (SNR), our proposal performs better than SM, and antenna arrays are not needed for transmission or reception.
Highlights
The requirements and the specific needs that should be met by a fifth generation (5G) mobile communication system were initially collected by the Third Generation Partnership Project (3GPP) in [1], and more than seventy Use Cases were identified and compiled them into five main categories, which are: Enhanced Mobile Broadband, Massive Machine Communications/mIoT Massive Internet of Things, Critical Communications/Ultra Reliable Low Latency Communications (CriC/URLLC), Enhanced Vehicle-to-Everything, and the final category is Network Operation NEO
In [11] we showed that singular value decomposition (SVD) creates codebooks with better performance than its predecessors; the motivation for this work is to demonstrate that it is possible to increase spectral efficiency by maintaining the configuration of one transmitting antenna and one receiving antenna, taking up and expanding the application of SVD to the design and construction of non-orthogonal multiple access (NOMA) codebooks for communications systems beyond 5G
SVD-Sparse Code Multiple Access (SCMA) and phase rotation methods rely on the design of codebooks using only one transmitting antenna and one receiving antenna
Summary
The requirements and the specific needs that should be met by a fifth generation (5G) mobile communication system were initially collected by the Third Generation Partnership Project (3GPP) in [1], and more than seventy Use Cases were identified and compiled them into five main categories, which are: Enhanced Mobile Broadband (eMBB), Massive Machine Communications/mIoT Massive Internet of Things (mMTC/mIoT), Critical Communications/Ultra Reliable Low Latency Communications (CriC/URLLC), Enhanced Vehicle-to-Everything (eV2X), and the final category is Network Operation NEO. This work is oriented to eMBB where a high user density, low mobility and high transmission rates are required, that as a result is an improved spectral efficiency. There are different NOMA access techniques, among which is Sparse Code Multiple Access (SCMA) [3,4], which directly encodes user data into multidimensional codewords using low-density codebooks. SM increases the SE by allocating part of the input data stream (spatial symbol), to activate an antenna to transmit the modulation symbol Another approach is to increase the number of bits that are encoded per codewords, which makes it more difficult to detect and decode signals at the receiver. In [11] we showed that SVD creates codebooks with better performance than its predecessors; the motivation for this work is to demonstrate that it is possible to increase spectral efficiency by maintaining the configuration of one transmitting antenna and one receiving antenna, taking up and expanding the application of SVD to the design and construction of NOMA codebooks for communications systems beyond 5G
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