Please use this identifier to cite or link to this item:

Sum-Rate Maximization for Energy Harvesting Nodes With a Generalized Power Consumption Model

Authors Gregori, Maria
Payaró, Miquel
Palomar, Daniel Perez View this author's profile
Issue Date 2016
Source IEEE Transactions on Wireless Communications , v. 15, (8), August 2016, article number 7457323, p. 5341-5354
Summary This paper considers a network of energy harvesting wireless nodes transmitting simultaneously in a Gaussian interference channel and investigates a distributed power allocation algorithm that maximizes the sum-rate. The power consumption model is based on a series of step functions that allow to model, among others, radio frequency circuits being on/off and the startup power consumption of the transmitter. After showing that the sum-rate maximization problem is nonsmooth, nonconvex, and NP-hard, the Iterative Smooth and Convex approximation Algorithm (ISCA) is proposed, which successively approximates the step functions by proper smooth functions to obtain a sequence of smooth nonconvex problems that can be solved by means of the successive convex approximation method. It is demonstrated that the ISCA distributedly converges to a stationary solution of the sum-rate maximization problem. For the particular case of point to point communications, the numerical results show that the ISCA is able to avoid bad stationary solutions, performing close to the globally optimal solution. The performance of the ISCA is also evaluated in the interference channel and with real solar energy harvesting data. © 2016 IEEE.
ISSN 1536-1276
Language English
Format Article
Access View full-text via DOI
View full-text via Scopus
View full-text via Web of Science