/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,

Primary LanguageMATLAB

Energy Efficiency Maximization for C-RANs: Discrete Monotonic Optimization, Penalty, and $\ell_{0}$-Approximation Methods

This repo is cloned from this CodeOcean capsule, which contains the code for the following scientific paper:

Kien-Giang Nguyen, Quang-Doanh Vu, Markku Juntti, and Le-Nam Tran, "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.

Instructions

The "main_optimal.m" script plots the convergence of the proposed branch-and-bound method described in Algorithm 1 in the paper. It makes use of MOSEK directly (i.e., not through a parser such as CVX or YALMIP) as a convex solver to solve various conic convex problems in the paper. If you download the code and run it on your machine, then you need to manually install MOSEK yourself.