Analog Precoding Designs for Millimeter Wave Communication Systems

Millimeter wave (mmWave) communication is expected to be a key technology for 5G networks, because it can provide high data rates and large available bandwidth. Large antenna array is necessary to be applied to mmWave system to overcome the high path loss. Restricted by power consumption and system...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 67; H. 12; S. 11733 - 11745
Hauptverfasser:	Wang, Ye, Zou, Weixia, Tao, Yunzheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms analog precoding Antenna arrays Bandwidths Complexity theory Computer simulation dominant vector approaching Measurement Millimeter wave communication Millimeter waves MIMO MIMO communication Optimization Power consumption Precoding Radio frequency Radio signals Receivers Searching Signal processing
ISSN:	0018-9545, 1939-9359
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Abstract	Millimeter wave (mmWave) communication is expected to be a key technology for 5G networks, because it can provide high data rates and large available bandwidth. Large antenna array is necessary to be applied to mmWave system to overcome the high path loss. Restricted by power consumption and system complexity, traditional digital precoding cannot be used for mmWave system. Therefore, analog radio frequency signal processing is introduced to simplify the architecture of precoder. In this paper, we propose dominant vector approaching (DVA) searching method for analog precoder design. Assuming that the channel state information is known at both transmitter and receiver sides, we decompose the analog precoding problem into a series of subproblems. For each subproblem, we just need to optimize one column of analog precoding matrix. Then, we can apply DVA searching method to solve these subproblems under unit modulus constraint. For the fully-connected structure (FS) and the partially-connected structure (PS), we propose DVA-FS and DVA-PS as our precoding designs, respectively. In addition, we prove that DVA searching method finds the near-optimal solutions for the nonconvex subproblems. Through simulation, we show that DVA algorithms achieve near-optimal performance with analog precoder in different scenarios. Besides, we investigate the effect of quantization and the energy efficiency of DVA algorithms, and find that they perform well with rough quantization.
AbstractList	Millimeter wave (mmWave) communication is expected to be a key technology for 5G networks, because it can provide high data rates and large available bandwidth. Large antenna array is necessary to be applied to mmWave system to overcome the high path loss. Restricted by power consumption and system complexity, traditional digital precoding cannot be used for mmWave system. Therefore, analog radio frequency signal processing is introduced to simplify the architecture of precoder. In this paper, we propose dominant vector approaching (DVA) searching method for analog precoder design. Assuming that the channel state information is known at both transmitter and receiver sides, we decompose the analog precoding problem into a series of subproblems. For each subproblem, we just need to optimize one column of analog precoding matrix. Then, we can apply DVA searching method to solve these subproblems under unit modulus constraint. For the fully-connected structure (FS) and the partially-connected structure (PS), we propose DVA-FS and DVA-PS as our precoding designs, respectively. In addition, we prove that DVA searching method finds the near-optimal solutions for the nonconvex subproblems. Through simulation, we show that DVA algorithms achieve near-optimal performance with analog precoder in different scenarios. Besides, we investigate the effect of quantization and the energy efficiency of DVA algorithms, and find that they perform well with rough quantization.
Author	Wang, Ye Zou, Weixia Tao, Yunzheng
Author_xml	– sequence: 1 givenname: Ye orcidid: 0000-0001-6526-6617 surname: Wang fullname: Wang, Ye email: yewautumn@live.com organization: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 2 givenname: Weixia surname: Zou fullname: Zou, Weixia email: zwx0218@bupt.edu.cn organization: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 3 givenname: Yunzheng orcidid: 0000-0002-8734-2729 surname: Tao fullname: Tao, Yunzheng email: yunzhengtao@bupt.edu.cn organization: State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
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Snippet	Millimeter wave (mmWave) communication is expected to be a key technology for 5G networks, because it can provide high data rates and large available...
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SubjectTerms	Algorithms analog precoding Antenna arrays Bandwidths Complexity theory Computer simulation dominant vector approaching Measurement Millimeter wave communication Millimeter waves MIMO MIMO communication Optimization Power consumption Precoding Radio frequency Radio signals Receivers Searching Signal processing
Title	Analog Precoding Designs for Millimeter Wave Communication Systems
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