Downlink Multiple Input Multiple Output Mixed Sparse Code Multiple Access for 5G System | Zendy

Cheng Yan | Zendy; Ningbo Zhang | Zendy; Guixia Kang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Downlink Multiple Input Multiple Output Mixed Sparse Code Multiple Access for 5G System

Author(s) -

Cheng Yan,

Ningbo Zhang,

Guixia Kang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2825221

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

For downlink multiple-input multiple-output-sparse code multiple access (MIMO-SCMA) system, the convergence reliability of the detected codeword in each decision process is unsatisfactory at the message passing algorithm receiver. To address this problem, a downlink MIMO-mixed sparse code multiple access (MIMO-MSCMA) system is proposed in this paper. For each user of the downlink MIMO-MSCMA, the transmitted codewords at different antennas come from different codebooks of MSCMA, respectively. On the other side, a novel basic complex multi-dimension constellation design is proposed in the MSCMA codebook design. Simulation results show that the bit error rate performance of the downlink MIMO-MSCMA outperforms than that of downlink MIMO-SCMA.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research