Optimal Multipoint-to-Multipoint Transceiver Design with Massive MIMO Relay Station in OFDM Systems

Based on massive MIMO ( multiple-input multiple-output) (M2M) systems, in order to avoid pilot contamination and improve the performance of rapacity, a pilot training transmission scheme was designed for pilot decontamination by utilizing orthogonal mbearriers of OFDM ( orthogonal frequency division...

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Published in东华大学学报(英文版) Vol. 33; no. 6; pp. 985 - 990
Main Author 周冬跃 林福民 张洪林 李学识 蒙自明
Format Journal Article
LanguageEnglish
Published School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China%School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China 2016
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ISSN1672-5220

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Summary:Based on massive MIMO ( multiple-input multiple-output) (M2M) systems, in order to avoid pilot contamination and improve the performance of rapacity, a pilot training transmission scheme was designed for pilot decontamination by utilizing orthogonal mbearriers of OFDM ( orthogonal frequency division multiplexing) during pilot transmission phase and a joint optimized transceiver design for multi-antenna user pairs was proposed during the data transmission phase. The massive M2M system included a single relay station, multiple paired source nodes and destination nodes. Source nodes precoding matrices and relay station precoding matrix were jointly optimized by maximizing the weighted sum-rate in OFDM systems. After some mathematical manipulation to sum-rate, the cost function of sum.rate was expressed as quadratic optimizing expressions which could be solved by regular convex optlmiTation softwares. Different from existing algorithms, the proposed precoding design was based on massive MIMO OFDM systems with multi-antenna users pairs together pilot decontamination transmission arrangement. Simulations indicate the effectiveness of the proposed optimal precoding system. The proposed scheme not only can reduce pilot contamination, but also can improve performance of bit-error-rate (BER) as wed as sum- rate contrast to existing algorithms. In addition, it shows that the proposed M2M massive MIMO system works steadily when the number of users increases in large scale.
Bibliography:31-1920/N
massive multiple-input multiple-output ( MIMO ) ; precoding ; multipoint-to-multipoint ( M'2M ) ; orthogonal frequency division multiplexing (OFDM) ; pilot contamination
Based on massive MIMO ( multiple-input multiple-output) (M2M) systems, in order to avoid pilot contamination and improve the performance of rapacity, a pilot training transmission scheme was designed for pilot decontamination by utilizing orthogonal mbearriers of OFDM ( orthogonal frequency division multiplexing) during pilot transmission phase and a joint optimized transceiver design for multi-antenna user pairs was proposed during the data transmission phase. The massive M2M system included a single relay station, multiple paired source nodes and destination nodes. Source nodes precoding matrices and relay station precoding matrix were jointly optimized by maximizing the weighted sum-rate in OFDM systems. After some mathematical manipulation to sum-rate, the cost function of sum.rate was expressed as quadratic optimizing expressions which could be solved by regular convex optlmiTation softwares. Different from existing algorithms, the proposed precoding design was based on massive MIMO OFDM systems with multi-antenna users pairs together pilot decontamination transmission arrangement. Simulations indicate the effectiveness of the proposed optimal precoding system. The proposed scheme not only can reduce pilot contamination, but also can improve performance of bit-error-rate (BER) as wed as sum- rate contrast to existing algorithms. In addition, it shows that the proposed M2M massive MIMO system works steadily when the number of users increases in large scale.
ZHOU Dong-yue , LIN Fu-min, ZHANG Hong-lin, LI Xue-shi, MENG Zi-ming ( 1 School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China 2 School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China)
ISSN:1672-5220