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chaorong-zhang's Projects

imtoolkit icon imtoolkit

IMToolkit: An open-source index modulation toolkit for reproducible research based on massively parallel algorithms

introrl icon introrl

Intro to Reinforcement Learning (强化学习纲要)

irs-relaying icon irs-relaying

Simulation code for “Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 244-248, February 2020.

large-scale-convex-optimization icon large-scale-convex-optimization

Simulation Code for "Large-scale convex optimization for dense wireless cooperative networks" by Yuanming Shi, Jun Zhang, Brendan O'Donoghue, and Khaled B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 18, Sept. 2015.

lira icon lira

LiRa: a WLAN architecture for Visible Light Communication with a Wi-Fi uplink

lis-deeplearning icon lis-deeplearning

Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.

ln-game-theory icon ln-game-theory

Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.

marlspectrumsharingv2x icon marlspectrumsharingv2x

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

mimo-fd-dl icon mimo-fd-dl

Code for our paper "MIMO Full Duplex Radios with Deep Learning"

noma_jspa_wsr icon noma_jspa_wsr

Joint Subcarrier and Power Allocation algorithms for WSR maximization in NOMA published in IEEE TSP 2020

ofdm_im icon ofdm_im

OFDM with Index Modulation (OFDM-IM) with various detection types and imperfect CSI

on_simulating_energy_consumption_of_federated_learning_systems icon on_simulating_energy_consumption_of_federated_learning_systems

A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protocols, proposed by Mo et. al. Energy consumption is computed during training along with energy consumed by communications between local machines and the server.

power-control icon power-control

Game Theory Based Distributed Resource Allocation in Communication Networks

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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