Intelligent based hybrid precoder for millimetre wave massive MIMO system

The Millimeter-wave and Massive Multiple Input Multiple Output technologies are promising candidates to offer high data rates and system throughputs in the next-generation wireless communication systems. In massive MIMO systems, the precoder plays a leading role to cancel the interference between th...

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Published in:	Wireless networks Vol. 30; no. 6; pp. 5239 - 5246
Main Authors:	Rajarajeswarie, B., Sandanalakshmi, R.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.08.2024 Springer Nature B.V
Subjects:	Algorithms Antenna arrays Antenna design Antennas Bit error rate Communications Engineering Computer Communication Networks Convexity Data transmission Decomposition Deep learning Electrical Engineering Engineering Hybrid systems IT in Business Machine learning Millimeter waves MIMO communication Networks Phase shifters Radio signals Wireless communication systems Deep learning Hybrid precoding Generalized triangular decomposition Uniform channel decomposition Massive MIMO Millimeter wave
ISSN:	1022-0038, 1572-8196
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Abstract	The Millimeter-wave and Massive Multiple Input Multiple Output technologies are promising candidates to offer high data rates and system throughputs in the next-generation wireless communication systems. In massive MIMO systems, the precoder plays a leading role to cancel the interference between the data stream and thereby reduce the complexity of the receiver design. In the conventional fully digital precoding scheme, many Radio Frequency chains are essential for every antenna array. Therefore, a hybrid precoder is a feasible solution to reduce the RF chains and improve the antenna array gain by dividing the signal processing into analog and digital precoders. Designing a hybrid precoder is a non-convex optimization problem because the phase shifter in the analog precoder holds hardware constraints. To address this, an intelligent hybrid precoder is designed using deep learning algorithms. In this paper, the Deep Learning framework is incorporated for hybrid precoder as it renovates non-convex problems into a network training process. In this work, the hybrid precoder is based on decomposition techniques such as Uniform Channel Decomposition (UCD) and Generalized Triangular Decomposition method, which is implemented in the training process as it provides equal gain for all subchannels to diminish the inter subchannel interference. The simulation results validate the proposed work is superior in terms of the Bit Error Rate in comparison with other conventional decomposition techniques. The result shows that the deep learning-based hybrid precoder is better than the conventional with a 2 dB improvement between the UCD method and GMD method.
AbstractList	The Millimeter-wave and Massive Multiple Input Multiple Output technologies are promising candidates to offer high data rates and system throughputs in the next-generation wireless communication systems. In massive MIMO systems, the precoder plays a leading role to cancel the interference between the data stream and thereby reduce the complexity of the receiver design. In the conventional fully digital precoding scheme, many Radio Frequency chains are essential for every antenna array. Therefore, a hybrid precoder is a feasible solution to reduce the RF chains and improve the antenna array gain by dividing the signal processing into analog and digital precoders. Designing a hybrid precoder is a non-convex optimization problem because the phase shifter in the analog precoder holds hardware constraints. To address this, an intelligent hybrid precoder is designed using deep learning algorithms. In this paper, the Deep Learning framework is incorporated for hybrid precoder as it renovates non-convex problems into a network training process. In this work, the hybrid precoder is based on decomposition techniques such as Uniform Channel Decomposition (UCD) and Generalized Triangular Decomposition method, which is implemented in the training process as it provides equal gain for all subchannels to diminish the inter subchannel interference. The simulation results validate the proposed work is superior in terms of the Bit Error Rate in comparison with other conventional decomposition techniques. The result shows that the deep learning-based hybrid precoder is better than the conventional with a 2 dB improvement between the UCD method and GMD method.
Author	Sandanalakshmi, R. Rajarajeswarie, B.
Author_xml	– sequence: 1 givenname: B. surname: Rajarajeswarie fullname: Rajarajeswarie, B. email: rajarajeswarie.b@pec.edu organization: Department of Electronic and Communication Engineering, Puducherry Technological University – sequence: 2 givenname: R. surname: Sandanalakshmi fullname: Sandanalakshmi, R. organization: Department of Electronic and Communication Engineering, Puducherry Technological University
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References	Yu (CR5) 2016; 10 Xie, Dai, Gao, Shakir, Li (CR15) 2018; 15 Jiang, Li, Hager (CR10) 2005; 53 Lu, Li, Swindlehurst, Ashikhmin, Zhang (CR6) 2014; 8 Yi Jiang, Li (CR21) 2008; 77 Kato, Fadlullah, Mao, Tang, Akashi, Inoue, Mizutani (CR13) 2017; 24 Liu, Sun, Zhou, Wu, Peng, Li (CR17) 2021; 17 Liu, Sun, Yu, Zhou (CR19) 2022; 18 Imran Zoha, Abu (CR4) 2014; 28 Ghosh (CR2) 2014; 32 Rappaport, Sun, Mayzus, Zhao, Azar, Wang, Wong, Schulz, Samimi, Gutierrez (CR3) 2013; 1 Hinton GE, Osindero (CR12) 2006; 18 Rajarajeswarie, Raj, Sandanalakshmi, Patgiri, Bandyopadhyay, Borah, Emilia Balas (CR25) 2022 Chen, Tsai, Liu, Hung, Wu (CR14) 2017; 65 Jiang, Li, Hager (CR11) 2005; 53 Huang, Song, Yang, Gui, Adachi (CR22) 2019; 68 Chen, Tsai, Yang (CR9) 2015; 14 Liu, Sun, Lu, Wu, Ding (CR16) 2020; 27 Liu, Ding, Hu (CR18) 2021; 8 Health, Gonzalez-Prelcic, Rangan, Roh, Sayeed (CR1) 2016; 10 Yang, Chou, Hsu, Chen (CR23) 2015; 62 Weng, Chen, Vaidyanathan (CR24) 2010; 58 Gao, Dai, Han, I, Heath (CR7) 2016; 34 Huang, Song, Yang, Gui, Adachi (CR20) 2019; 68 Jin, Zheng, Chen, Xiao (CR8) 2018; 17 Hongji Huang (3245_CR22) 2019; 68 Y Jiang (3245_CR10) 2005; 53 C-H Yang (3245_CR23) 2015; 62 A Imran Zoha (3245_CR4) 2014; 28 J Jin (3245_CR8) 2018; 17 T Xie (3245_CR15) 2018; 15 Ching-Chih Weng (3245_CR24) 2010; 58 B Rajarajeswarie (3245_CR25) 2022 X Liu (3245_CR18) 2021; 8 TS Rappaport (3245_CR3) 2013; 1 X Liu (3245_CR16) 2020; 27 WWH Yi Jiang (3245_CR21) 2008; 77 X Gao (3245_CR7) 2016; 34 Y Jiang (3245_CR11) 2005; 53 RW Health (3245_CR1) 2016; 10 H Huang (3245_CR20) 2019; 68 X Liu (3245_CR19) 2022; 18 CE Chen (3245_CR9) 2015; 14 TY Hinton GE (3245_CR12) 2006; 18 L Lu (3245_CR6) 2014; 8 N Kato (3245_CR13) 2017; 24 A Ghosh (3245_CR2) 2014; 32 X Yu (3245_CR5) 2016; 10 X Liu (3245_CR17) 2021; 17 CH Chen (3245_CR14) 2017; 65
References_xml	– volume: 15 start-page: 229 issue: 5 year: 2018 end-page: 238 ident: CR15 article-title: Geometric mean decomposition based hybrid precoding for millimeter-wave massive MIMO publication-title: China Communications doi: 10.1109/CC.2018.8388000 – volume: 1 start-page: 335 year: 2013 end-page: 349 ident: CR3 article-title: Millimeter wave mobile communications for 5G cellular: It will work! publication-title: IEEE Access doi: 10.1109/ACCESS.2013.2260813 – volume: 10 start-page: 485 issue: 3 year: 2016 end-page: 500 ident: CR5 article-title: Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems publication-title: IEEE Journal of Selected Topics in Signal Processing doi: 10.1109/JSTSP.2016.2523903 – volume: 68 start-page: 3027 issue: 3 year: 2019 end-page: 3032 ident: CR20 article-title: Deep-learning based millimeter-wave massive MIMO for hybrid precoding publication-title: IEEE Transactions on Vehicular Technology doi: 10.1109/TVT.2019.2893928 – volume: 34 start-page: 998 issue: 4 year: 2016 end-page: 1009 ident: CR7 article-title: Energy-efficient hybrid analog and digital precoding for mmwave MIMO systems with large antenna arrays publication-title: IEEE Journal on Selected Areas in Communications doi: 10.1109/JSAC.2016.2549418 – volume: 58 start-page: 566 issue: 2 year: 2010 end-page: 574 ident: CR24 article-title: Generalized triangular decomposition in transform coding publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2009.2031733 – volume: 62 start-page: 1099 issue: 4 year: 2015 end-page: 1108 ident: CR23 article-title: A systolic array based GTD processor with a parallel algorithm publication-title: IEEE Transactions on Circuits and Systems I: Regular Papers – volume: 53 start-page: 4283 issue: 11 year: 2005 end-page: 4294 ident: CR11 article-title: Uniform channel decomposition for MIMO communications publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2005.857052 – volume: 24 start-page: 146 issue: 3 year: 2017 end-page: 153 ident: CR13 article-title: The deep learning vision for heterogeneous networktraffic control: Proposal, challenges, and future perspective publication-title: IEEE Wireless Communications doi: 10.1109/MWC.2016.1600317WC – year: 2022 ident: CR25 article-title: Uniform channel decomposition-based hybrid precoding using deep learning publication-title: Edge analytics, lecture notes in electrical engineering – volume: 17 start-page: 3327 issue: 5 year: 2018 end-page: 3339 ident: CR8 article-title: Hybrid precoding for millimeter wave MIMO systems: A matrix factorization approach publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2018.2810072 – volume: 8 start-page: 742 year: 2014 end-page: 758 ident: CR6 article-title: An overview of massive MIMO: Benefits and challenges publication-title: IEEE Journal of Selected Topics in Signal Processing doi: 10.1109/JSTSP.2014.2317671 – volume: 27 start-page: 67 issue: 5 year: 2020 end-page: 73 ident: CR16 article-title: Big-data-based intelligent spectrum sensing for heterogeneous spectrum communications in 5G publication-title: IEEE Wireless Communications doi: 10.1109/MWC.001.1900493 – volume: 10 start-page: 436 issue: 3 year: 2016 end-page: 453 ident: CR1 article-title: An overview of signal processing techniques for millimeter wave MIMO systems publication-title: IEEE Journal of Selected Topics in Signal Processing doi: 10.1109/JSTSP.2016.2523924 – volume: 28 start-page: 27 year: 2014 end-page: 33 ident: CR4 article-title: Challenges in 5G: How to empower SON with big data for enabling 5G publication-title: IEEE Network doi: 10.1109/MNET.2014.6963801 – volume: 65 start-page: 1412 issue: 6 year: 2017 end-page: 1424 ident: CR14 article-title: Compressive sensing (cs) assisted low-complexity beamspace hybrid precoding for millimeter-wave MIMO systems publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2016.2641379 – volume: 18 start-page: 4244 issue: 6 year: 2022 end-page: 4253 ident: CR19 article-title: Reinforcement-learning-based dynamic spectrum access for software-defined cognitive industrial Internet of Things publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2021.3113949 – volume: 77 start-page: 1037 year: 2008 end-page: 1056 ident: CR21 article-title: The generalized triangular decomposition publication-title: Mathematics of Computation doi: 10.1090/S0025-5718-07-02014-5 – volume: 18 start-page: 1527 issue: 7 year: 2006 end-page: 1554 ident: CR12 article-title: A fast learning algorithm for deep belief nets publication-title: Neural Computation doi: 10.1162/neco.2006.18.7.1527 – volume: 32 start-page: 1152 issue: 6 year: 2014 end-page: 1163 ident: CR2 article-title: Millimeter-wave enhanced local area systems: A high data-rate approach for future wireless networks publication-title: IEEE Journal of Selection Areas Communication doi: 10.1109/JSAC.2014.2328111 – volume: 68 start-page: 3027 year: 2019 end-page: 3032 ident: CR22 article-title: Deep-learning-based millimeter-wave massive for hybrid precoding publication-title: IEEE Transaction on Vehicular Technology doi: 10.1109/TVT.2019.2893928 – volume: 17 start-page: 3391 issue: 5 year: 2021 end-page: 3400 ident: CR17 article-title: Reinforcement learning-based multislot double-threshold spectrum sensing with Bayesian fusion for industrial big spectrum data publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2020.2987421 – volume: 14 start-page: 343 issue: 1 year: 2015 end-page: 352 ident: CR9 article-title: An iterative geometric mean decomposition algorithm for MIMO communications systems publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2014.2347051 – volume: 53 start-page: 3791 issue: 10 year: 2005 end-page: 3803 ident: CR10 article-title: Joint transceiver design for MIMO communications using geometric mean decomposition publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2005.855398 – volume: 8 start-page: 15049 issue: 20 year: 2021 end-page: 15058 ident: CR18 article-title: Uplink resource allocation for noma-based hybrid spectrum access in 6G-enabled cognitive internet of things publication-title: IEEE Internet of Things Journal doi: 10.1109/JIOT.2020.3007017 – volume: 53 start-page: 4283 issue: 11 year: 2005 ident: 3245_CR11 publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2005.857052 – volume: 27 start-page: 67 issue: 5 year: 2020 ident: 3245_CR16 publication-title: IEEE Wireless Communications doi: 10.1109/MWC.001.1900493 – volume: 8 start-page: 742 year: 2014 ident: 3245_CR6 publication-title: IEEE Journal of Selected Topics in Signal Processing doi: 10.1109/JSTSP.2014.2317671 – volume: 53 start-page: 3791 issue: 10 year: 2005 ident: 3245_CR10 publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2005.855398 – volume: 68 start-page: 3027 year: 2019 ident: 3245_CR22 publication-title: IEEE Transaction on Vehicular Technology doi: 10.1109/TVT.2019.2893928 – volume: 15 start-page: 229 issue: 5 year: 2018 ident: 3245_CR15 publication-title: China Communications doi: 10.1109/CC.2018.8388000 – volume: 10 start-page: 485 issue: 3 year: 2016 ident: 3245_CR5 publication-title: IEEE Journal of Selected Topics in Signal Processing doi: 10.1109/JSTSP.2016.2523903 – volume: 24 start-page: 146 issue: 3 year: 2017 ident: 3245_CR13 publication-title: IEEE Wireless Communications doi: 10.1109/MWC.2016.1600317WC – volume: 8 start-page: 15049 issue: 20 year: 2021 ident: 3245_CR18 publication-title: IEEE Internet of Things Journal doi: 10.1109/JIOT.2020.3007017 – volume: 68 start-page: 3027 issue: 3 year: 2019 ident: 3245_CR20 publication-title: IEEE Transactions on Vehicular Technology doi: 10.1109/TVT.2019.2893928 – volume: 65 start-page: 1412 issue: 6 year: 2017 ident: 3245_CR14 publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2016.2641379 – volume: 1 start-page: 335 year: 2013 ident: 3245_CR3 publication-title: IEEE Access doi: 10.1109/ACCESS.2013.2260813 – volume: 18 start-page: 4244 issue: 6 year: 2022 ident: 3245_CR19 publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2021.3113949 – volume: 17 start-page: 3391 issue: 5 year: 2021 ident: 3245_CR17 publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2020.2987421 – volume: 18 start-page: 1527 issue: 7 year: 2006 ident: 3245_CR12 publication-title: Neural Computation doi: 10.1162/neco.2006.18.7.1527 – volume: 62 start-page: 1099 issue: 4 year: 2015 ident: 3245_CR23 publication-title: IEEE Transactions on Circuits and Systems I: Regular Papers doi: 10.1109/TCSI.2015.2388831 – volume: 14 start-page: 343 issue: 1 year: 2015 ident: 3245_CR9 publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2014.2347051 – volume: 77 start-page: 1037 year: 2008 ident: 3245_CR21 publication-title: Mathematics of Computation doi: 10.1090/S0025-5718-07-02014-5 – volume: 58 start-page: 566 issue: 2 year: 2010 ident: 3245_CR24 publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2009.2031733 – volume: 32 start-page: 1152 issue: 6 year: 2014 ident: 3245_CR2 publication-title: IEEE Journal of Selection Areas Communication doi: 10.1109/JSAC.2014.2328111 – volume: 17 start-page: 3327 issue: 5 year: 2018 ident: 3245_CR8 publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2018.2810072 – volume: 10 start-page: 436 issue: 3 year: 2016 ident: 3245_CR1 publication-title: IEEE Journal of Selected Topics in Signal Processing doi: 10.1109/JSTSP.2016.2523924 – volume: 34 start-page: 998 issue: 4 year: 2016 ident: 3245_CR7 publication-title: IEEE Journal on Selected Areas in Communications doi: 10.1109/JSAC.2016.2549418 – volume-title: Edge analytics, lecture notes in electrical engineering year: 2022 ident: 3245_CR25 – volume: 28 start-page: 27 year: 2014 ident: 3245_CR4 publication-title: IEEE Network doi: 10.1109/MNET.2014.6963801
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Snippet	The Millimeter-wave and Massive Multiple Input Multiple Output technologies are promising candidates to offer high data rates and system throughputs in the...
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SubjectTerms	Algorithms Antenna arrays Antenna design Antennas Bit error rate Communications Engineering Computer Communication Networks Convexity Data transmission Decomposition Deep learning Electrical Engineering Engineering Hybrid systems IT in Business Machine learning Millimeter waves MIMO communication Networks Phase shifters Radio signals Wireless communication systems
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Title	Intelligent based hybrid precoder for millimetre wave massive MIMO system
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