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Source code for "Intelligent Reflecting Surface Operation under Predictable Receiver Mobility: A Continuous Time Propagation Model" by Bho Matthiesen, Emil Björnson, Elisabeth De Carvalho, and Petar Popovski published in IEEE Wireless Communications Letters
Low-complexity waveform optimization for large-scale wireless power transfer, based on nonlinear harvester model.
This code computes the spectral efficiency in the downlink of a Massive MIMO systems over Uncorrelated Rician Fading Channels. In particular, it generates Figs. 4 and 5 of a manuscript that is currently under review for publication on IEEE Transactions on Communications (submitted May 2018). The manuscript will be made available soon on arxiv.
Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.
MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现
《MIMO-OFDM无线通信技术及MATLAB实现》随书源码
Simulation code for “Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces, IEEE Wireless Communications Letters, to appear.
Simulation code for “Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Communications Magazine, vol. 58, no. 12, pp. 90-96, December 2020.
Computation of MIMO capacity with per-antenna power constraint using MATLAB
Simulation code for "Distributed CSI Acquisition and Coordinated Precoding for TDD Multicell MIMO Systems" (IEEE TVT 2015).
This repository contains the source codes for the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' in IEEE Transactions on Wireless Communications.
:speech_balloon:微信小程序版简易计算器demo,适合入门练手
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