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Optimal Hybrid Beamforming for Multiuser Massive MIMO Systems With Individual SINR Constraints
Shanghai Jiao Tong Univ, Peoples R China; Shanghai Microwave Res Inst, Peoples R China; China Elect Technol Grp Corp, Peoples R China.
Shanghai Jiao Tong Univ, Peoples R China.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Shanghai Jiao Tong Univ, Peoples R China.
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2019 (English)In: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 8, no 2, p. 532-535Article in journal (Refereed) Published
Abstract [en]

In this letter, we consider optimal hybrid beamforming design to minimize the transmission power under individual signal-to-interference-plus-noise ratio (SINR) constraints in a multiuser massive multiple-input-multiple-output (MIMO) system. This results in a challenging non-convex optimization problem. We consider two cases. In the case where the number of users is smaller than or equal to that of radio frequency (RF) chains, we propose a low-complexity method to obtain a globally optimal solution and show that it achieves the same transmission power as an optimal fully-digital beamformer. In the case where the number of users is larger than that of RF chains, we propose a low-complexity globally convergent alternating algorithm to obtain a stationary point.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 8, no 2, p. 532-535
Keywords [en]
Multiuser massive MIMO; hybrid beamforming; power minimization; penalty method
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-157240DOI: 10.1109/LWC.2018.2878766ISI: 000464913200052OAI: oai:DiVA.org:liu-157240DiVA, id: diva2:1324201
Note

Funding Agencies|National Natural Science Foundation of China [61401272, 61771309, 61671301, 61420106008, 61521062]; Shanghai Key Laboratory Funding [STCSM15DZ2270400]; CETC Key Laboratory of Data Link Technology Foundation [CLDL-20162306]; Medical Engineering Cross Research Foundation of Shanghai Jiao Tong University [YG2017QN47]

Available from: 2019-06-13 Created: 2019-06-13 Last updated: 2019-06-13

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • Other style
More styles
Language
  • de-DE
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More languages
Output format
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