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crnoma_ddpg

A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems

energy-spectral-efficiency-optimization

Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-based Robust Power Control Approach

energy_efficiency_optimization_for_mimo_interference_networks

Solving energy efficiency optimization problem for MIMO interference wireless network using iterative semi-definite programming with WMMSE (SDP-WMMSE) algorithm and successive convex approximation (SCA) algorithm

fl_cnn_noma

full-duplex-noma

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.

noma

This repo has our initial codes for offline implementation of NOMA with CVX

noma-swipt_gradient_newton_methods

T. N. Do and B. An, "Optimal sum-throughput analysis for downlink cooperative SWIPT NOMA systems," 2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Ho Chi Minh City, 2018, pp. 85-90, doi: 10.1109/SIGTELCOM.2018.8325811.

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.

performance_of_noma_based_crs

Non-orthogonal multiple access (NOMA) is a promising technique for the fifth generation (5G) wireless communications. As users with good channel conditions can serve as relays to enhance the system performance by using successive interference cancellation (SIC), the integration of NOMA and cooperative relaying system.

sequential_chance_constrained

[OR 2011] Matlab code for Sequential Convex Approximations to Joint Chance Constrained Programs

solving-energy-efficiency-problems-through-polynomial-optimization-theory

This is a code package is related to the follow scientific article: Andrea Pizzo, Alessio Zappone and Luca Sanguinetti, "Solving Energy Efficiency Problems through Polynomial Optimization Theory," IEEE Signal Processing Letters, Submitted to. The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the article. We encourage you to also perform reproducible research!

spectrum-utilization-of-cognitive-radio-networks-using-noma