Abstract
A novel power and rate control system model for wireless communication networks is presented, which includes uncertainties, input constraints, and time-varying delays in both state and control input. A robust delay-dependent model predictive power and rate control method is proposed, and the state feedback control law is obtained by solving an optimization problem that is derived by using linear matrix inequality (LMI) techniques. Simulation results are given to illustrate the effectiveness of the proposed method.
Highlights
Power and rate control for wireless communication networks has attracted a great deal of interest during recent decades
This paper considers such a time delay which is mainly different from the existing power and rate control methods
The goal of this paper is to find a state feedback control law u(k) = Kx(k) for system (25) via the model predictive control (MPC) strategy by solving the optimization problem (29)-(30)
Summary
Power and rate control for wireless communication networks has attracted a great deal of interest during recent decades. The objective of power and rate control is to guarantee the quality of service (QoS) with the lowest transmit power and the maximum transmission data rate in order to maximize the capacity and throughput of the network. Low power may lead to the degradation of communication quality or even unreliable connection, while high data rates may cause data bursts in the network. Transmit power and transmission rate must be effectively controlled for wireless communication networks. There have been a lot of effective power and rate control methods reported in the literature.
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