An Adaptive Hybrid Beamforming Scheme for Time-Varying Wideband Massive MIMO Channels

Date

2020-06-01

Author

Kurt, Anıl
Güvensen, Gökhan Muzaffer

Metadata

Show full item record

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

Item Usage Stats

197
views

0
downloads

© 2020 IEEE.In this paper, adaptive hybrid beamforming methods are proposed for millimeter-wave range massive MIMO systems considering single carrier wideband transmission in uplink data mode. A statistical analog beamformer is adaptively constructed in slow-time, while the channel is time-varying and erroneously estimated. Proposed recursive filtering approach is shown to bring a remarkable robustness against estimation errors. Then, analytical modifications are applied on an analog beamformer design method and approximated expressions are obtained for channel covariance matrices that decouple angular spread and center angle of multipath components. Resultant adaptive construction methods use only the estimated power levels on angular patches and they are shown to be very efficient such that they reduce computational complexity significantly while the performance remains almost the same.

URI

https://hdl.handle.net/11511/69931

DOI

https://doi.org/10.1109/icc40277.2020.9148971

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

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...
A Low Complexity Two-Stage Target Detection Scheme for Resource Limited Radar Systems Candan, Çağatay (2013-01-01) A two-stage detector is proposed to accommodate high computational load requirements of modern radar systems. The first stage of the proposed system is a low-complexity detector that operates at an unusually high false alarm probability value around 1/10. This stage is to prescreen and eliminate some of the test cells with relatively few operations. The second stage operates only on the cells passing the prescreening stage and implements a high-complexity detector at a desired system false alarm rate. Due t...
The data acquisition and calibration system for the ATLAS Semiconductor Tracker Abdesselam, A.; et. al. (IOP Publishing, 2008-01-01) The SemiConductor Tracker (SCT) data acquisition (DAQ) system will calibrate, configure, and control the approximately six million front-end channels of the ATLAS silicon strip detector. It will provide a synchronized bunch-crossing clock to the front-end modules, communicate first-level triggers to the front-end chips, and transfer information about hit strips to the ATLAS high-level trigger system. The system has been used extensively for calibration and quality assurance during SCT barrel and endcap asse...
An Implantable Multichannel Digital Neural Recording System for a Micromachined Sieve Electrode Akın, Tayfun; Bradley, R.M. (1995-06-29) This paper reports the development of an implantable, fully integrated, single-chip, multichannel neural recording system, which is powered and communicated with using an RF telemetry link. The system allows recording of /spl plusmn/500/spl mu/V neural signals from axons regenerated through a micromachined silicon sieve electrode. These signals are amplified using on-chip 100Hz to 3.IkHz bandlimited amplifiers, multiplexed, and digitized with a low-power, high speed current-mode 8-bit ADC, and then transmit...
A cross-layer protocol for wireless sensor networks Akyildiz, Ian F.; Vuran, Mehmet C.; Akan, Ozgur B. (2006-03-24) Severe energy constraints of battery-powered sensor nodes necessitate energy-efficient communication protocols in order to fulfill application objectives of wireless sensor networks (WSN). However, the vast majority of the existing solutions are based on classical layered protocols approach. It is much more resource-efficient to have a unified scheme which melts common protocol layer functionalities into a cross-layer module for resource-constrained sensor nodes. To the best of our knowledge, to date, there...

Citation Formats

A. Kurt and G. M. Güvensen, “An Adaptive Hybrid Beamforming Scheme for Time-Varying Wideband Massive MIMO Channels,” 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/69931.