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dc.contributor.authorYing, Keke
dc.contributor.authorGao, Zhen
dc.contributor.authorLyu, Shanxiang
dc.contributor.authorWu, Yongpeng
dc.contributor.authorWang, Hua
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2020-03-19T11:06:47Z
dc.date.available2020-03-19T11:06:47Z
dc.date.issued2020-01-21
dc.date.submitted2020-01-02
dc.identifier.citationYing, K., Gao, Z., Lyu, S., Wu, Y., Wang, H., & Alouini, M.-S. (2020). GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO. IEEE Access, 8, 19530–19539. doi:10.1109/access.2020.2968456
dc.identifier.doi10.1109/ACCESS.2020.2968456
dc.identifier.urihttp://hdl.handle.net/10754/662203
dc.description.abstractReconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach to reshape the wireless environment for improved throughput. Its passive feature greatly reduces the energy consumption, which makes RIS a promising technique for enabling the future smart city. Existing beamforming designs for RIS mainly focus on optimizing the spectral efficiency for single carrier systems. Meanwhile, complicated bit/power allocation on different spatial domain subchannels needs to be designed for better bit error rate (BER) performance in conventional singular value decomposition-based beamforming. To avoid this, in this paper, we propose a geometric mean decomposition-based beamforming for RIS-assisted millimeter wave (mmWave) hybrid MIMO systems. In this way, multiple parallel data streams in the spatial domain can be considered to have the same channel gain, so that the better BER can be achieved without sophisticated bit/power allocation. Moreover, by exploiting the common angular-domain sparsity of mmWave massive MIMO channels over different subcarriers, a simultaneous orthogonal matching pursuit algorithm is utilized to obtain the optimal multiple beams from an oversampling 2D-DFT codebook. Besides, by only leveraging the angle of arrival and angle of departure associated with the line of sight (LoS) channels, we further design the phase shifters for RIS by maximizing the array gain for LoS channel. Simulation results show that the proposed scheme can achieve better BER performance than conventional approaches. Our work is an initial attempt to discuss the broadband beamforming for RIS-assisted mmWave massive MIMO with the hybrid architecture.
dc.description.sponsorshipThis work was supported in part by the Beijing Natural Science Foundation under Grant 4182055 and Grant L182024, in part by the National Natural Science Foundation of China under Grant 61701027, in part by the Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST) and Chinese Institute of Electronics (CIE), and in part by the Talent Innovation Project of Beijing Institute of Technology (BIT).*%blankline%*
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8964330/
dc.rights(c) 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleGMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Access
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
dc.contributor.institutionAdvanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
dc.contributor.institutionCollege of Cyber Security, Jinan University, Guangzhou 510632, China
dc.contributor.institutionDepartment of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
kaust.personAlouini, Mohamed-Slim
dc.date.accepted2020-01-15
refterms.dateFOA2020-03-19T11:11:05Z
dc.date.published-online2020-01-21
dc.date.published-print2020


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