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aloha icon aloha

Matlab implementation code of a variety of classic Aloha algorithms

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.

cubesats icon cubesats

Additional materials to "Design of cooperative communication system based on CubeSat satellites" (master thesis) .

deepsc icon deepsc

Pytorch implementation of the DeepSC

deepsc-s icon deepsc-s

Semantic Communication Systems for Speech Transmission

deepspace-turbo icon deepspace-turbo

Implementation of the CCSDS (Consultative Committee for Space Data Systems) standard for Turbo Codes

interleave-division-multiple-access icon interleave-division-multiple-access

Simulating the performance of IDMA as one of the proposed multiple access schemes for the future 5th generation (5G) mobile networks air interface.

linear-programming-using-matlab icon linear-programming-using-matlab

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.

mimo-simulation icon mimo-simulation

Simulation Code for MIMO Signals with and without a Sphere Decoding front-end

otfs-simple-simulation icon otfs-simple-simulation

OTFS simple simulation, including OTFS modulation, channel generate, channel output, MP detector

polar-coded-scma icon polar-coded-scma

Matlab simulation code for uplink polar coded SCMA system. "Z. Pan, E. Li, L. Wen, J. Lei, and C. Tang, “Joint iterative detection and decoding receiver for polar coded SCMA system,” in 2018 IEEE International Conference on Communications Workshops (ICC Workshops), May 2018, pp. 1–6."

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