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An Interference-Reducing Precoding for SCMA Multicast Design Based on Complementary Sequences

delete2022-12-01
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OA
AI
S
Shufeng Li
X
Xin Yu
Y
Yao Sun
L
Libiao Jin *
Z
Zhiping Xia
DOI:10.1109/TBC.2022.3201637delete
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摘要

摘要

En 中文
In a multi-group multicast sparse code multiple access (SCMA) system, one base station multicasts common messages to multiple multicast groups via different code books. To accommodate more user terminals (UTs), traditional multicast systems have multiple transmitters, each of which works in one-to-many mode. In this way, each UT is subject to inter-transmitter interference. Considering the high degrees of freedom for transmitting and receiving, it is difficult to separate the desired signal from interference signals. Therefore, an interference-reducing precoding scheme is required to ensure the reliability of SCMA multicast communication system. For the SCMA multicast system design, we present three necessary conditions that the interference-reducing matrix should satisfy. Then, the precoding matrix satisfying the three necessary conditions simultaneously is designed by utilizing the complementary sequences (CS) and complete complementary sequences (CCS). In this context, we consider two scenarios with different transmission modes (single-cell and multiple-cell) and different precoding schemes (based on CS and CCS). Simulation results show that proposed transmission schemes can significantly reduce the bit error rate of multicast groups while ensuring the communication throughput, and behave a superior performance over other alternatives. Moreover, theoretical and simulation results also prove that the proposed precoding vectors have perfect average power radiation and omnidirectional coverage performance.
Keyword:
Precoding
Interference
Downlink
Codes
Wireless communication
Unicast
Linear antenna arrays
SCMA
multicast
complementary sequences
complete complementary sequences
precoding

期刊

IEEE Transactions on Broadcasting 封面图
IEEE Transactions on Broadcasting
IF:
4.8
论文数:
2.1K
被引数:
3.0K

机构

C
Communication University of China
学者数:
1.1K
论文数: 820
被引数: 326
U
university of glasgow
学者数:
3.5W
论文数: 3.1W
被引数: 37
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