This is a matlab code package is related to our coming article: "Path Selection and Rate Allocation for Ultra-Reliability and Low Latency in mmWave 5G Networks", in Proc. IEEE Global Commun. Conf., Singapore, Dec. 2017, submitted.

Title:

#Authors: Trung Kien Vu

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!

Note that this is the first version of our draft to show only an example of learning path. The full source code will be uploaded later.

#Abstract of Article

System requirement

• MATLAB version: 9.1 (R2016b) https://www.mathworks.com/downloads/

• OS: Windows 7 amd64 version 6.1

• Java version: 1.7.0_60

• Yalmip lastest version https://yalmip.github.io/?n=Main.Download

• Mosek solver version 7 at least : https://www.mosek.com/

Solver Name ---- Status ------------ Versionn ------Location

Mosek ------ selected,default -------- 7.1.0.12 ---- {cvx}\mosek\w64

SDPT3 ------ --------------------------4.0 ------------ {cvx}\sdpt3

SeDuMi ------------------------------ 1.34 -------- {cvx}\sedumi

Content of Code Package

The paper contains three simulation figures:

Figure 2 is generated by the Matlab script main.m or main_0.m

See each file for further documentation. Note that this package constains a simple procedure that allows to learning the path/route in our paper. You can modify further based on this outlines

Acknowledgements

License and Referencing

This code package is licensed under the GPLv3 license. If you in any way use this code for research that results in publications, please cite our original article listed above.