Murat Bayraktar

College of Engineering

Works (5)

Updated: April 5th, 2024 15:08

2023 article

Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas

2023 IEEE 9TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, CAMSAP, pp. 391–395.

By: K. Stylianopoulos *, M. Bayraktar n, N. Gonzalez-Prelcic  n & G. Alexandropoulos *

author keywords: Localization; tracking; dynamic metasurface antennas; deep learning; autoregressive attention networks
TL;DR: A newly proposed Attention-based neural network is first trained to map noisy channel responses to potential user positions regardless of user-mobility patterns, which constitutes a modification of the prominent Vision Transformer, specifically modified for extracting information from high-dimensional frequency response signals. (via Semantic Scholar)
Source: Web Of Science
Added: March 25, 2024

2023 article

SELF-INTERFERENCE AWARE CODEBOOK DESIGN FOR FULL-DUPLEX JOINT SENSING AND COMMUNICATION SYSTEMS AT MMWAVE

2023 IEEE 9TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, CAMSAP, pp. 231–235.

By: M. Bayraktar n, C. Rusu *, N. Gonzalez-Prelcic  n & H. Chen *

author keywords: Full-duplex; joint sensing and communication; beam codebook; mmWave communication
TL;DR: It is shown that the proposed codebook is suitable for joint initial access and target detection in mmWave communication systems that leverage a full-duplex circuit. (via Semantic Scholar)
Source: Web Of Science
Added: March 25, 2024

2022 article

Beam Codebook Design for Joint Initial Access and Localization in mmWave Networks

2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 919–924.

By: M. Bayraktar n, C. Rusu *, N. Gonzalez-Prelcic  n & C. Zhang*

author keywords: mmWave; beam codebook design; compressed channel estimation; mutual coherence; localization
TL;DR: This paper addresses the problem of designing the set of training precoders and combiners that, while providing a high accuracy channel and position estimate, also result in a reduced training overhead with respect to standardized beam training strategies and considers the mutual coherence between the training hybrid precoder/combiners and the overcomplete dictionary used to represent the channel. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023

2022 article

Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave

2022 IEEE 23RD INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATION (SPAWC).

By: M. Bayraktar n, J. Palacios n, N. Gonzalez-Prelcic  n & C. Zhang*

author keywords: RIS-aided millimeter wave communication; joint localization and communication; channel estimation
TL;DR: This paper proposes to exploit a multidimensional orthogonal matching pursuit strategy for compressive channel estimation in a RIS-aided millimeter wave system and shows how this algorithm, based on computing the projections on a set of independent dictionaries instead of a single large dictionary, enables high accuracy channel estimation at reduced complexity. (via Semantic Scholar)
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Source: Web Of Science
Added: April 4, 2023

2021 journal article

Adaptation of Code-Domain NOMA to SC-FDE Based Overloaded mmWave Hybrid Massive MIMO

IEEE COMMUNICATIONS LETTERS, 26(3), 667–671.

By: M. Bayraktar n & G. Guvensen *

author keywords: NOMA; Massive MIMO; Uplink; Radio frequency; Multiuser detection; Decision feedback equalizers; Wideband; Code-domain NOMA; SC-FDE; mmWave; massive MIMO; hybrid beamforming
TL;DR: It is shown that CD-NOMA can enhance the performance of mmWave hybrid beamforming based massive MIMO systems by effectively decreasing the correlation between closely separated user channels in joint code-beamspace. (via Semantic Scholar)
Source: Web Of Science
Added: March 28, 2022

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