Sum-Rate Maximization for Energy Harvesting Nodes With a Generalized Power Consumption Model
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 mo...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| Repositorio: | r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| OAI Identifier: | oai:cttc.fundanetsuite.com:p1937 |
| Acceso en línea: | https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1937 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982306595&doi=10.1109%2fTWC.2016.2556658&partnerID=40&md5=2b682018ff4e88cc891b6445288e3e0b |
| Access Level: | acceso abierto |
| Palabra clave: | Approximation algorithms Electric power utilization Iterative methods Optimization Radio transmission Reconfigurable hardware Signal interference Solar energy Distributed Power-Allocation Gaussian interference channels Nonconvex optimization Point-to-point communication Radio frequency circuit Step functions Successive convex approximations Sum-rate maximizations Energy harvesting |
| Sumario: | 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. |
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