A Reduced complexity hybrid precoding architecture and user grouping algorithms for downlink wideband massive MIMO channels

Download

index.pdf

Date

2019

Author

Kilcioğlu, Emre

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

259
views

117
downloads

In this thesis, an efficient hybrid precoding architecture is proposed for single-carrier (SC) downlink wideband spatially correlated massive multiple-input multiple-output (MIMO) channels. The design of two-stage beamformers is realized by using a virtual sectorization via second-order channel statistics based user grouping. The novel feature of the proposed architecture is that the effect of both inter-group-interference (due to non-orthogonality of virtual angular sectors) and the inter-symbol-interference (due to SC wideband transmission) are taken into account. While designing the analog beamformer, we examine the dimension reduction problem and proper subspace (beamspace) construction (by exploiting the joint angle-delay sparsity map and power profile of the multi-user channel) based on which a highly efficient spatio-temporal digital precoding is proposed. Before the beamforming stage, the user terminals are distributed into multiple groups by using their second order statistics via a user grouping algorithm named as merge and split based algorithm with K-means initialization and our own performance metric. This algorithm finds an optimal user grouping distribution to maximize the performance of the hybrid precoding structure. If the proposed joint angle-delay generalized eigen beamformer (JAD-GEB) type analog beamformer, reduced complexity spatio-temporal channel matched filter-spatially regularized zero forcing (CMF-SZF) type digital precoder and merge and split based user grouping algorithm with K-means initialization and our own performance metric are utilized together for the hybrid structure, the performance results reach very close to those of the fully digital CMF type precoding by using less number of RF chains.

Subject Keywords

MIMO systems., Keywords: Massive MIMO, millimeter wave, hybrid, beamforming, user grouping, downlink, achievable information rate.

URI

http://etd.lib.metu.edu.tr/upload/12623976/index.pdf
https://hdl.handle.net/11511/44602

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A General framework on adaptive hybrid beamformingand channel acquisition for wideband mm-wave massive MIMO systems Kurt, Anıl; Güvensen, Gökhan Muzzaffer.; Department of Electrical and Electronics Engineering (2019) In this thesis, an efficient hybrid beamforming architecture together with a novel spatio-temporal receiver processing is proposed for single-carrier (SC) mm-wave wideband massive MIMO channels in time-domain duplex (TDD) mode. The design of two-stage beamformer is realized by using a virtual sectorization via second-order channel statistics based user grouping. The novel feature of the proposed architecture is that the effect of both inter-group-interference (due to non-orthogonality of virtual angular sec...
An Efficient Hybrid Beamforming and Channel Acquisition for Wideband mm-Wave Massive MIMO Channels Kurt, Anıl; Güvensen, Gökhan Muzaffer (2019-01-01) In this paper, an efficient hybrid beamforming architecture together with a novel spatio-temporal receiver processing is proposed for single-carrier (SC) mm-wave wideband massive MIMO channels in time-domain duplex (TDD) mode. The design of two-stage beamformers is realized by using a virtual sectorization via second-order channel statistics based user grouping. The novel feature of the proposed architecture is that the effect of both inter-group-interference (due to non-orthogonality of virtual angular sec...
An Efficient beam and channel acquisition via sparsity map and joint angle-delay power profile estimation for wideband massive MIMO systems Kalaycı, Ali Osman; Güvensen, Gökhan Muzaffer; Department of Electrical and Electronics Engineering (2019) In this thesis, an efficient beam and instantaneous channel acquisition scheme together with joint angle-delay power profile (JADPP), scatter map, construction are proposed for single-carrier (SC) mm-wave wideband sparse massive multiple-input multiple-output (MIMO) channels when hybrid beamforming architecture is utilized. We consider two different modes of operation, namely slow-time beam acquisition and fast-time instantaneous channel estimation, in training stage of time division duplex (TDD) based syst...
A Nonlinear Detector for Uplink SC-FDE mm-Wave Hybrid Massive MIMO under Hardware Impairments Salman, Murat Babek; Güvensen, Gökhan Muzaffer (2021-06-01) In this paper, we propose a detector structure for fully connected hybrid massive MIMO systems with transceiver impairments at user equipments. In literature, memoryless compensation of nonlinear effects at the receiver side is recently proposed for systems employing frequency domain equalization. However, in these studies, the system model is restricted to be symbol sampled, where pulse shaping and fractional delays in channel impulse response (CIR) are not taken into consideration. However, memory effects...
An efficient spatial channel covariance estimation via joint angle-delay power profile in hybrid massive MIMO systems Kalayci, Ali Osman; Güvensen, Gökhan Muzaffer (2020-06-01) © 2020 IEEE.In this paper, an efficient construction method for channel covariance matrices (CCMs) together with joint angle-delay power profile (JADPP) and sparsity map estimation is proposed for single-carrier (SC) mm-wave wideband massive multiple-input multiple-output (MIMO) channels when hybrid beamforming architecture is utilized. We consider slow-time beam acquisition mode for training stage of time division duplex (TDD) based systems where pre-structured hybrid beams are formed to scan intended angu...

Citation Formats

E. Kilcioğlu, “A Reduced complexity hybrid precoding architecture and user grouping algorithms for downlink wideband massive MIMO channels,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Electrical and Electronics Engineering., Middle East Technical University, 2019.