Energy‐Efficient Radio Resource Management

Abstract

Energy‐efficient resource management is a promising solution to enable environment friendly and cost‐effective wireless communication networks. This article presents the basic principles of the energy‐efficient resource allocation design in wireless networks. Two types of energy‐efficiency (EE) definitions, system‐centric EE and user‐centric EE, are introduced, discussed, and analyzed. We reveal that when the circuit power consumption is not negligible, there is a nontrivial trade‐off between the EE and spectral efficiency, which should be taken into account for the optimal resource allocation algorithm design. In general, the system‐ and the user‐centric EE maximization can be classified as a single‐ratio problem and a sum‐of‐ratios problem, respectively, and they can be solved via various iterative parametric algorithms. As an illustrative example, we have also presented the energy‐efficient resource allocation design in an orthogonal frequency division multiple access (OFDMA) system. The design is formulated as a nonconvex optimization problem. By exploiting the factional programming and dual decomposition, the globally optimal solution is obtained. Furthermore, our simulation results demonstrate the fast convergence and the superior EE achieved by our proposed resource allocation design. In addition, some future research extensions for realizing energy‐efficient wireless communication networks are identified and discussed.

Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview

“…Here, α k ≥ 0, ∀k, are non-negative weights which account for the priorities of different users and their values can be set to facilitate fairness in resource allocation. The system WIT efficiency U Eff WIT denotes the number of bits delivered while consuming one joule of net energy [73]. The system WPT efficiency U Eff WPT represents the amount of harvested power while consuming one Watt of system power.…”

“…In this case, the convergence of Dinkelbach's method cannot be guaranteed. Moreover, it is well known that Dinkelbach's method can only handle a single fractional objective function [73]. For instance, R WS (ρ k , W k , V) in P WIT and P Rate is a sum of logarithms of fractional functions and thus Dinkelbach's method is not applicable.…”