Modeling Intelligent Inter-Layer Interaction in 4G Wireless Networks

Abstract

In current and Next Generation Networks (NGN), Connection Admission Control and Scheduling are important Resource and Connection Management (RaCM) functions that are subject to a principle known as Intelligent Inter-layer Interaction (3I). That is, each is not only responsible for considering performance and system status information across different layers (like cross-layer design), but additionally make intelligent inferences as to the feedback effect their decision will have on particular performance measures. System-specific factors complicate these decision processes as well, such as the fluctuating radio channel quality and usage profiles. Simulation is usually preferred to model such systems but are limited by the high complexity of NGNs. Traffic-Centric Modeling is a proposed novel paradigm that has been shown to be a useful hybrid modeling approach. In this paper, we elaborate on 4G hybrid models using the proposed paradigm to study and take advantage of the synergy evident in the RaCM.