{"title":"Analysis of MMSE Multiuser Detector in a Low-density Parity Check Coded Large Scale MIMO OFDM","authors":"Shefin Shoukath, P. Haris","doi":"10.2174/2210327913666230727095458","DOIUrl":null,"url":null,"abstract":"\n\nLarge-scale MIMO OFDM technique satisfies the demands on performance\nand the service quality preferred in wireless communication systems. Since numerous antenna terminals have been incorporated in the base station, multiuser detection is crucial for retrieving the data\nappropriately. Thus, the complexities of the detectors increase rapidly in large-scale MIMO OFDM\nschemes.\n\n\n\nThis work is a solution to achieve an extensively high rate of data transmission, which will\nhelp improve the capacity of the LS MIMO OFDM system.\n\n\n\nA unique detection approach of multiuser detection in LS MIMO OFDM model with channel coding, like low density parity check codes (LDPC), is suggested in this paper. The LDPC-coded\nlarge-scale MIMO OFDM system has also been analysed in the study with users of around ten at the\ntransmitter and several antennas in the base station.\n\n\n\nBER of the LDPC-coded LS MIMO OFDM exhibited a waterfall region for SNR greater\nthan 6dB as the study has been done with different decoding iterations. The BER performance\nworsened with the increase in modulation symbols. The study has shown how the BER performance\nhas improved with respect to the increasing fading channels and subcarriers.\n\n\n\nThe proposed system exhibited performance closer to the MIMO capacity with low\ncomplexity MMSE detection. The multiuser detector of LDPC-coded LS MIMO OFDM has been\nanalysed by error rate in received bits (BER) with respect to different parameters, such as modulation\norders, iteration values, receiving antennas, and OFDM subcarriers.\n","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sensors, Wireless Communications and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2210327913666230727095458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
Large-scale MIMO OFDM technique satisfies the demands on performance
and the service quality preferred in wireless communication systems. Since numerous antenna terminals have been incorporated in the base station, multiuser detection is crucial for retrieving the data
appropriately. Thus, the complexities of the detectors increase rapidly in large-scale MIMO OFDM
schemes.
This work is a solution to achieve an extensively high rate of data transmission, which will
help improve the capacity of the LS MIMO OFDM system.
A unique detection approach of multiuser detection in LS MIMO OFDM model with channel coding, like low density parity check codes (LDPC), is suggested in this paper. The LDPC-coded
large-scale MIMO OFDM system has also been analysed in the study with users of around ten at the
transmitter and several antennas in the base station.
BER of the LDPC-coded LS MIMO OFDM exhibited a waterfall region for SNR greater
than 6dB as the study has been done with different decoding iterations. The BER performance
worsened with the increase in modulation symbols. The study has shown how the BER performance
has improved with respect to the increasing fading channels and subcarriers.
The proposed system exhibited performance closer to the MIMO capacity with low
complexity MMSE detection. The multiuser detector of LDPC-coded LS MIMO OFDM has been
analysed by error rate in received bits (BER) with respect to different parameters, such as modulation
orders, iteration values, receiving antennas, and OFDM subcarriers.
大规模MIMO OFDM技术满足了无线通信系统对性能和服务质量的要求。由于许多天线终端已并入基站,多用户检测对于适当检索数据至关重要。因此,在大规模MIMO ofdm方案中,检测器的复杂性迅速增加。这项工作是实现广泛高速率数据传输的一种解决方案,有助于提高LS MIMO OFDM系统的容量。本文提出了一种具有低密度奇偶校验码(LDPC)等信道编码的LS MIMO OFDM多用户检测方法。ldpc编码的大规模MIMO OFDM系统也在研究中进行了分析,其中发射机用户约为10人,基站中有几个天线。在不同的译码迭代下,ldpc编码的LS MIMO OFDM的误码率在信噪比大于6dB时呈现瀑布区。随着调制符号的增加,误码率性能下降。研究表明,随着衰落信道和子载波的增加,误码率性能得到了提高。该系统具有更接近MIMO容量的性能和低复杂度的MMSE检测。分析了ldpc编码的LS MIMO OFDM多用户检测器在调制顺序、迭代值、接收天线和OFDM子载波等不同参数下的误码率。
期刊介绍:
International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.