Study on Energy Conservation for Cellular Systems: A Global Optimization Approach

Wen Kuang Kuo, Chin Tai Hsu

Research output: Contribution to journalArticlepeer-review


With the increasing popularity of wireless devices and multimedia services, data transmission in cellular systems has increased dramatically, resulting in huge energy consumption. This impacts negatively on the environment (e.g., high textCO-2 emissions and the depletion of nonrenewable energy sources) and increases the operation cost for telecommunications. Effectively solving this issue has become a significant research topic. In this study, we aim to minimize the total power consumption for cellular systems by jointly considering base station (BS) deployment and power allocation, while providing user transmission rate and quality of experience (QoE) guarantees. We construct a mathematical model which is a nonconvex mixed integer nonlinear programming (MINLP) problem. To solve it with global optimality, we design a novel branch-and-bound (B&B) algorithm based on the characteristics of the MINLP problem. We compare our proposed B&B algorithm with a reference B&B algorithm using the relaxation method published in previous literatures. Numerical results show that our algorithm substantially surpassed the reference algorithm in terms of computational complexity. Moreover, we investigate in detail the effect of distinct factor on the energy consumption of cellular systems. Our results not only provide insights into the design of green cellular systems but also serve as performance benchmarks for heuristic and distributed algorithms developed for practical implementations.

Original languageEnglish
Pages (from-to)627-638
Number of pages12
JournalIEEE Systems Journal
Issue number1
Publication statusPublished - 2018 Mar

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Study on Energy Conservation for Cellular Systems: A Global Optimization Approach'. Together they form a unique fingerprint.

Cite this