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195-energy-minimization-for-wireless-communication-with-rotary-wing-uav

210-deep-reinforcement-learning-based-resource-allocation-for-v2v-communications

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

admm-net-for-mimo-detection

admm_for_sdp

ADMM method for SDP problems, input in SDPA format, algorithm by Wen, Zaiwen, Donald Goldfarb, and Wotao Yin, 2010.

admm_pinns

codes for the script "Yongcun Song, Xiaoming Yuan, and Hangrui Yue, 'The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach', arXiv preprint arXiv:2302.08309."

admm_ss_sdp

This repo contains two solvers for solving the sublevel set SDP problem (Marina 2018).

alm-dnn

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]

antenna-selection-and-beamforming-with-bandb-and-ml

Machine learning accelerated Branch and Bound for Joint beamforming and antenna selection

apc524-admm-4-block

Project for APC524, ADMM solver for conic programming 4 - block constraints. Written in Python and C++

battery-constrained-feel-in-uav-enabled-iot-for-b5g-6g-networks

Battery-constrained FEEL in UAV-enabled IoT for B5G/6G networks

bd-ris-low-complexity

Simulation code for the paper: T. Fang and Y. Mao, "A Low-Complexity Beamforming Design for Beyond-Diagonal RIS Aided Multi-User Networks," in IEEE Communications Letters, vol. 28, no. 1, pp. 203-207, Jan. 2024, doi: 10.1109/LCOMM.2023.3333411.

bdd

An integer linear program solver using a Lagrange decomposition into binary decision diagrams. Lagrange multipliers are updated through dual block coordinate ascent.

cal

Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"

code-deep-learning-augmented-wireless-channel-estimation

This repository contains code for out journal paper : "Low Complexity Deep Learning Augmented Wireless Channel Estimation".

codinginterviewchinese2

《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

constrainet

A PyTorch implementation of ConstraiNet – differentiable output constrained neural network layer

counterfactualfairness-minmaxgame

d3l-hb

This is the code for the paper "Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI".

data-jpua

This is a collection of MATLAB scripts to generate numerical results for the paper "Secure Joint Precoding and User Association for Multiuser Hybrid RF/VLC Systems"

ddqn_beamselection

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

deep-unfolded-d-admm

deep-unfolding-beamforming-for-intelligent-reflecting-surface-assisted-full-duplex-systems

denseuav

Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments（Accepted by IEEE TIP）

distributed-local-planner-pi-admm

distributed-optimization-with-centralized-refining

Simulation code of the paper: J. Bai and X. Wang “Distributed-Optimization with Centralized-Refining for Efficient Resource Allocation in Future Wireless Networks,” in IEEE Transactions on Communications, accepted, Mar. 2024.

drydenmodelpython

ee

eemaxcran

Simulation code for "Energy Efficiency Maximization for C-RANs: Discrete Monotonic Optimization, Penalty, and $\ell_{0}$-Approximation Methods," IEEE Trans. Signal Process., vol. 66, no. 17, pp. 4435-4449, Sep. 2018 by K.-G. Nguyen, Q.-D. Vu, M. Juntti, and L.-N. Tran,

energy-efficient_uav_communication_with_trajectory_optimization