Scaling Factor Aided Iterative Multiuser Receiver for Sparse Code Multiple Access

2017 ◽  
Vol 21 (8) ◽  
pp. 1723-1726 ◽  
Author(s):  
Jincheng Dai ◽  
Kai Niu ◽  
Chao Dong ◽  
Jiaru Lin
Keyword(s):  
Multiple Access ◽  
Scaling Factor ◽  
Sparse Code ◽  
Multiuser Receiver

scholarly journals Reconfigurable Intelligent Surface-Assisted Uplink Sparse Code Multiple Access

2021 ◽  
pp. 1-1
Author(s):  
Ibrahim Al-Nahhal ◽  
Octavia A. Dobre ◽  
Ertugrul Basar
Keyword(s):  
Multiple Access ◽  
Sparse Code

Improved Message Passing Algorithms for Sparse Code Multiple Access

2017 ◽  
Vol 66 (11) ◽  
pp. 9986-9999 ◽  
Author(s):  
Jincheng Dai ◽  
Kai Niu ◽  
Chao Dong ◽  
Jiaru Lin
Keyword(s):  
Message Passing ◽  
Multiple Access ◽  
Sparse Code ◽  
Message Passing Algorithms

scholarly journals Secrecy-Oriented Optimization of Sparse Code Multiple Access for Simultaneous Wireless Information and Power Transfer in 6G Aerial Access Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jingmin Zhang ◽  
Xiaokui Yue ◽  
Xuan Li ◽  
Haofei Zhang ◽  
Tao Ni ◽  
...  
Keyword(s):  
Multiple Access ◽  
Optimization Methods ◽  
Access Networks ◽  
Spectrum Efficiency ◽  
Sparse Code ◽  
Power Splitting ◽  
Power Transfer ◽  
Sixth Generation ◽  
Successive Convex Approximation ◽  
Iot Devices

This article focuses on the simultaneous wireless information and power transfer (SWIPT) systems, which provide both the power supply and the communications for Internet-of-Things (IoT) devices in the sixth-generation (6G) network. Due to the extremely stringent requirements on reliability, speed, and security in the 6G network, aerial access networks (AANs) are deployed to extend the coverage of wireless communications and guarantee robustness. Moreover, sparse code multiple access (SCMA) is implemented on the SWIPT system to further promote the spectrum efficiency. To improve the speed and security of SWIPT systems in 6G AANs, we have developed an optimization algorithm of SCMA to maximize the secrecy sum rate (SSR). Specifically, a power-splitting (PS) strategy is applied by each user to coordinate its energy harvesting and information decoding. Hence, the SSR maximization problems in the SCMA system are formulated in terms of the PS and resource allocation, under the constraints on the minimum rates and minimum harvested energy of individual users. Then, a successive convex approximation method is introduced to transform the nonconvex problems to the convex ones, which are then solved by an iterative algorithm. In addition, we investigate the SSR performance of the SCMA system supported by our optimization methods, when the impacts from different perspectives are considered. Our studies and simulation results show that the SCMA system supported by our proposed optimization algorithms significantly outperforms the legacy system with uniform power allocation and fixed PS.

scholarly journals A review of codebook design methods for sparse code multiple access

2021 ◽  
Vol 22 (2) ◽  
pp. 927
Author(s):  
Syed Aamer Hussain ◽  
Norulhusna Ahmad ◽  
Ibraheem Shayea ◽  
Hazilah Mad Kaidi ◽  
Liza Abdul Latiff ◽  
...  
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Multiple Access ◽  
Design Methods ◽  
Sparse Code ◽  
Practical Implementation ◽  
Next Generation ◽  
Promising Technique ◽  
Codebook Design ◽  
Optimisation Technique

<span lang="EN-GB">The progressions in telecommunication beyond the 5<sup>th</sup> generation have created a need to improve research drifts. The current 5G study has an important focus on non-orthogonal multiple access (NOMA) technology. sparse code multiple access (SCMA) is a promising technique within NOMA, enhancing the multi-user handling capability of next-generation communication. In the SCMA sphere, codebook designing and optimisation are essential research matters. This study conversed with different codebook design practises existing in the literature, analysing them for numerous parameters, including bit error rate (BER), an optimisation technique, and channel settings. From the analysis, the paper presents the efficiency of different approaches. The article also discusses the prospects and challenges of SCMA optimisation in practical implementation in various domains.</span>

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