in this paper, downlink resource allocation for a sparse code multiple access (scma) based heterogeneous  cellular networks (hcn) is investigated. the main aim of this paper is to obtain joint power allocation and codebook assignment to achieve the least total system transmit power. in this regard, the proposed objective function is formulated as total transmit power subject to users minimum ra...

Sparse code multiple access (SCMA) is a promising code-domain non-orthogonal (NOMA) scheme for the enabling of massive machine-type communication. In SCMA, design good sparse codebooks and efficient multiuser decoding have attracted tremendous research attention in past few years. This letter aims to leverage deep learning jointly downlink SCMA encoder decoder with aid autoencoder. We introduce...

The synergistic amalgamation of sparse code multiple access (SCMA) and multiple-input multiple-output (MIMO) technologies can be exploited for improving spectral efficiency providing enhanced wireless services to massive users. In this case, however, channel estimation is a burning issue with the increasing number users and/or antennas. To tackle problem, we propose novel non-coherent transmiss...

Constant Modulus Algorithm (CMA), Fractionally-spaced Equalizer (FSE) and Recursive Least Squares (RLS)-CMA are investigated, and a low computational complexity RLS-CMA based on FSE with the simplified cost function of CMA (LRLS-FSE-SCMA) was proposed in this paper. To overcome the instability of RLS-CMA, the cost function of CMA is simplified to meet second norm form and an improved RLS-CMA (R...

The problem of blind recovery of QAM and PSK signals for multiple-input multiple-output (MIMO) communication systems is investigated. We propose a simplified version of the well-known constant modulus algorithm (CMA), named simplified CMA (SCMA). The SCMA cost function consists in projection of the MIMO equalizer outputs on one dimension (either real or imaginary part). A study of stationary po...

Malware is huge and growing at an exponential pace. Symantec observes 403 million new malware samples in 2011. Therefore, that efficiently and effectively analysis so many malware samples becomes a great challenge. Centralized systems cause problems of single point of failure as well as processing bottlenecks. Previous distributed systems are mainly applied for specific or simple malware. This ...

Abstract—Sparse code multiple access (SCMA) is attracting significant research interests currently, which is considered as a promising multiple access technique for 5G systems. It serves as a good candidate for the future communication network with massive nodes due to its capability of handling user overloading. Introducing SCMA to visible light communication (VLC) can provide another opportun...

Sparse code multiple access (SCMA) is an emerging paradigm for efficient enabling of massive connectivity in future machine-type communications (MTC). In this letter, we conceive the uplink transmissions low-density parity check (LDPC) coded SCMA system. Traditional receiver design LDPC-SCMA system, which based on message passing algorithm (MPA) multiuser detection followed by individual LDPC d...

Sparse code multiple access (SCMA), which helps improve spectrum efficiency (SE) and enhance connectivity, has been proposed as a non-orthogonal (NOMA) scheme for 5G systems. In SCMA, codebook design determines system overload ratio detection performance at receiver. this paper, an SCMA approach is based on uniquely decomposable constellation group (UDCG). We show that there are N+1 ( N ≥ 1) co...

In this paper, the performance and system complexity of the candidate multiple access (MA) techniques for the next generation of cellular systems, namely, non-orthogonal multiple access (NOMA) (in this paper, we consider power domain MA as NOMA) and sparse code multiple access (SCMA), are investigated. To this end, for each MA technique, a resource allocation problem considering heterogeneous c...