Lucas Sampaio

This paper proposes to extend the discrete Verhulst power equilibrium approach, previously suggested in [1], to the power-rate optimal allocation problem. Multirate users associated to different types of traffic are aggregated to distinct user' classes, with the assurance of minimum rate allocation per user and QoS. Herein, Verhulst power allocation algorithm was adapted to the single-input-single-output DS/CDMA jointly power-rate control problem. The analysis was carried out taking into account the convergence time, quality of solution, in terms of the normalized squared error (NSE), when compared with the analytical solution based on interference matrix inverse, and computational complexity. Numerical results demonstrate the validity of the proposed resource allocation methodology.

This book chapter discusses the nature-inspired metaheuristic firefly algorithm (FA) applied in telecommunications. FA has been developed based on the behavior of the fireflies and the light emit, where the brightest firefly attracts the others into his direction. Besides, combining a stochastic behavior and a population-based multi-modal characteristic, FA approach is able to solve optimization problems in different areas of knowledge such as engineering, robotics, combinatorial optimization and so on. This chapter aims to show the FA performance in two distinct network optimization problems, namely: traffic characterization and energy-efficient cooperative networks. In the first problem, FA is applied as a clustering algorithm to create a network traffic pattern, called Digital Signature of Network Segment using Flow analysis (DSNSF), while on the second optimization problem, FA has been applied to the energy efficiency maximization problem in multi-carrier direct sequence code division multiple access (MC-DS/CDMA) cooperative networks.