Channel Estimation Techniques for Multicarrier OFDM 5G Wireless Communication Systems

被引：0

作者：

Kumar, Tipparti Anil ^{[1
]}

Anjaneyulu, Lokam ^{[2
]}

机构：

[1] CMR Inst Technol, Dept Elect & Commun Engn, Hyderabad 501401, Telangana, India

[2] Natl Inst Technol, Dept Elect & Commun Engn, Warangal 506004, Telangana, India

来源：

2020 IEEE 10TH INTERNATIONAL CONFERENCE ON SYSTEM ENGINEERING AND TECHNOLOGY (ICSET) | 2020年

关键词：

channel estimation; internet of things; least squares; M-estimator;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The fifth-generation (5G) communication system is supposed to include a huge amount of mobile data traffic and number of wireless connections, for improved spectrum efficiency, quality of service (QoS), reliability, and security. This paper studies channel estimation techniques in multicarrier orthogonal frequency-division-multiplexing (OFDM) 5G wireless communication systems in Rayleigh and Rician channels. Proposed M-estimator based channel estimation technique in comparison with classical least squares (LS) and linear minimum mean-squared error (LMMSE) estimation is studied and analyzed. An M- estimator is proposed for robustification of channel estimation technique in Rayleigh and Rician fading channels. Simulation results are provided and the comparison shows the performance gains achieved by the proposed technique over LS and MMSE estimation in multicarrier OFDM 5G wireless communication systems.

引用

页码：98 / 101

页数：4

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