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a.liao-jsac21 icon a.liao-jsac21

codes for Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks, url https://ieeexplore.ieee.org/document/9398858

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

cell-free-book icon cell-free-book

Book PDF and simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.

cf_uav icon cf_uav

UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems

deep-learning-power-allocation-in-massive-mimo icon deep-learning-power-allocation-in-massive-mimo

This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

easyfl icon easyfl

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

icqm icon icqm

MATLAB script for approximating the solution to the integer convex quadratic minimization problem

isac_hybrid_precoding icon isac_hybrid_precoding

Codes for IEEE TCOM paper "Partially-Connected Hybrid Beamforming Design for Integrated Sensing and Communication Systems"

multi-uav-planning icon multi-uav-planning

This is a matlab code used in the paper Multi-UAV Routing for Area Coverage and Remote Sensing with Minimum Time

noma-mec icon noma-mec

A general framework for NOMA-MEC offloading

nonconvex-localization icon nonconvex-localization

Simulations for Paper Sensor Network Event Localization via Non-convex Non-smooth ADMM and Augmented Lagrangian Methods

otfs-mrc-detection-matlab-package icon otfs-mrc-detection-matlab-package

OTFS-MRC-detection-MATLAB-package Orthogonal time frequency space (OTFS) is a recently proposed modulation scheme that multiplexes information symbols in the delay-Doppler domain. The information symbols in OTFS experience a roughly flat fading channel even in high mobility wireless channels resulting in better performance than the widely used OFDM scheme, This code package presents the MATLAB package for OTFS detection based on the MRC scheme proposed in [R1,R2,R3] References [R1]. T. Thaj and E. Viterbo,``Low Complexity Iterative Rake Decision Feedback Equalizer for ZeroPadded OTFS Systems’’, in IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 15606- 15622, Dec. 2020, doi: 10.1109/TVT.2020.3044276. [R2]. T. Thaj and E. Viterbo,``Low Complexity Iterative Rake Detector for Orthogonal Time Frequency Space Modulation’’ 2020 IEEE Wireless Communications and Networking Conference (WCNC), 2020, pp. 1-6, doi: 10.1109/WCNC45663.2020.9120526. [R3]. Y. Hong, T. Thaj, E. Viterbo, ``Delay-Doppler Communications: Principles and Applications'', Academic Press, 2022, ISBN:9780323850285

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