Cherish every joule: Maximizing throughput with an eye on network-wide energy consumption

—Conserving network-wide energy consumption is becoming an increasingly important concern for network operators. In this work, we study network-wide energy conservation problem which we hope will offer insights to both network operators and users. In the first part of this work, we study how to maximize throughput under a network-wide energy constraint. We formulate this problem as a mixed-integer nonlinear program (MINLP). We propose a novel piece-wise linear approximation to transform the nonlinear constraints into linear constraints. We prove that the solution developed under this approach is near-optimal with guaranteed performance bound. In the second part, we generalize the problem in the first part by exploring throughput and network-wide energy optimization via a multicriteria optimization framework. We show that the weakly Pareto-optimal points in the solution can characterize an optimal throughput-energy curve. We offer some interesting properties of the optimal throughpu...

• Type: Journal
• Year: 2012
• Where: INFOCOM
• Authors: Canming Jiang, Yi Shi, Y. Thomas Hou, Wenjing Lou
• Keywords: Communications, INFOCOM 2012, Linear Approximation, Nonlinear Constraints, Optimal Throughput