syamms's Stars
roamiri/RA-NOMA
Reconfigurable Antenna - Non Orthogonal Multiple Access
FIR2FIABOE/mmWave
Coverage Analysis for Millimeter-wave in cellular network
jiaxiang-wu/GradOpt
A collection of gradient-based optimization methods.
chamara84/jointChannelAndPowerAlloFDCR
This contains joint channel and power allocation scheme for a full duplex cognitive radio network underlying a cellular network
weibeld/Understanding-LTE-With-Matlab
LTE physical layer implementation with the Matlab Communication System Toolbox
tsairuthvik10/Game-Theory-Based-Allocation
Game Theory based Radio Resource Allocation for full-duplex systems
CarmenDAndrea/mmWave_Channel_Model
dreamian/D2DCommSimul
This repository includes the idea of effective D2D Communication method using Matching theoretic approach
andreatassi/V2X-MMWAVE
emilbjornson/unlimited-capacity
Simulation code for “Massive MIMO has Unlimited Capacity” by Emil Björnson, Jakob Hoydis, Luca Sanguinetti, IEEE Transactions on Wireless Communications, vol. 17, no. 1, pp. 574-590, Jan. 2018.
juntingchen/csi-exch-massive-mimo
Matlab code of the algorithms developed in paper titled "Feedback Mechanisms for FDD Massive MIMO with D2D-based Limited CSI Sharing"
ulyssis/channel-power-allocation-802.22
[1] Di Li and James Gross, Distributed TV Spectrum Allocation for Cognitive Cellular Network under Game Theoretical Framework Proc. of the IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN'12) 2012
lucasanguinetti/Deep-Learning-Power-Allocation-in-Massive-MIMO
This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org
adrikayak/D2D_cellular_network_simulator
Simulator used in the study "D2D frequency allocation using GADIA in a cellular network" (Matlab)
rishabhcs53/5G-Wireless-Network
le-liang/ResourceAllocationV2Xgraph
Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications
HYWuCharles/ChannelCapacitySimulation
MIMO信道,AWGN信道,瑞利信道及Aloumati空时码信道容量仿真
axg2016/16-QAM-QPSK-BPSK
Simulation in MATLAB of Digital Communication modulations (BPSK,QPSK,16 QAM) to find the performance and probability of error in Rayleigh and Rician fading environments
gaur1616/Channel-Estimation-OFDM-
-Investigated the efficiency of different estimators to estimate and track channel parameters based on the Mean Squared Error (MSE) performance. The estimators employed in the simulation are LS and MMSE estimators and their performance in the transfer domain was evaluated. MATLAB was used for the simulation of the communication link and analyzing the error between the estimated channel parameters and actual modeled channel parameters.
emilbjornson/massive-MIMO-small-cells
Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.
kien-vu/Path-Selection-and-Rate-allocation-in-Self-backhauled-mmWave-Networks
This is a Matlab code package is related to the article : Path Selection and Rate Allocation for URLLC in Self-backhauled mmWave 5G Networks
fatemehshmd/Resource-allocation-in-Cognitive-Radio-
Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))
le-liang/ResourceAllocationV2X
Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications
savinay95n/Reinforcement-learning-Algorithms-and-Dynamic-Programming
Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal control. So essentially, the concept of Reinforcement Learning Controllers has been established. The Reinforcement Learning Controllers have been compared on the basis of performance and efficiency and they are separately compared with the classical Linear Quadratic Regulator Controller. Each of the RL controller have been integrated with a Swing up controller. A virtual switch toggles between the Swing up controller and the RL controller automatically, based on the value of the angular deviation theta with respect to the vertical plane. My research paper and my undergraduate thesis have been uploaded for reference. All the codes have also been uploaded.
emilbjornson/MIMO-channel-estimation
Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.
rnissel/Channel-Estimation
Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018
emilbjornson/book-resource-allocation
Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013
SHIYUANMING/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.
UTS-RI/Matlab-Graph-Optimization
Matlab: Optimization for Nonlinear Least Squares
yuxianghao/Alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-MIMO-systems
Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.