Comparative Study of Distributed Consensus-based Estimation Schemes for Small-Cell Networks
نویسندگان
چکیده
The dense deployment of small-cells is a promising approach to realize the rate demand in future wireless communication systems. Cooperative processing among distributed radio access points is an interesting approach to achieve the performance of centralized solutions with limited backhaul traffic. In this paper, we investigate cooperative multi-user detection by applying the Distributed Consensus-based Estimation (DiCE) algorithm and two recently proposed modifications of it. The schemes are compared by means of communication overhead and estimation performance.
منابع مشابه
Fast Distributed Consensus-based Estimation (Fast-DiCE) for Cooperative Networks
In distributed networks several nodes aim to estimate the signals broadcasted by the sources in a cooperative fashion by exchanging information among neighboring nodes. Consensus based estimation is a specific class of In-NetworkProcessing (INP) techniques and the Distributed Consensusbased Estimation (DiCE) algorithm is an efficient realization for the Least Squares (LS) estimation problem. In...
متن کاملDistributed Incremental Least Mean-Square for Parameter Estimation using Heterogeneous Adaptive Networks in Unreliable Measurements
Adaptive networks include a set of nodes with adaptation and learning abilities for modeling various types of self-organized and complex activities encountered in the real world. This paper presents the effect of heterogeneously distributed incremental LMS algorithm with ideal links on the quality of unknown parameter estimation. In heterogeneous adaptive networks, a fraction of the nodes, defi...
متن کاملSaturated Neural Adaptive Robust Output Feedback Control of Robot Manipulators:An Experimental Comparative Study
In this study, an observer-based tracking controller is proposed and evaluatedexperimentally to solve the trajectory tracking problem of robotic manipulators with the torque saturationin the presence of model uncertainties and external disturbances. In comparison with the state-of-the-artobserver-based controllers in the literature, this paper introduces a saturated observer-based controllerbas...
متن کاملAdaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems
This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect o...
متن کاملA Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition
Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...
متن کامل