Analysis of Transport and User Plane functionality in the LTE eNB with impact on the end-to-end performance

In diesem Projekt wird in Kooperation mit NSN das LTE-System betrachtet und optimiert. Im Vordergrund der Arbeiten stehen dabei die Anpassung und Optimierung der Ressourcenzuweisung für die Funkschnittstellen im Überlastfall. Dabei wird die benötigte Ende-zu-Ende-Dienstgüte berücksichtigt und die zur Verfügung stehenden Ressourcen im Zugangsnetz (Transportnetz). Für diese Fragestellungen werden Konzepte entworfen und simulativ auf ihre Eignung zur Verbesserung der Leistungsfähigkeit, insbesondere der Ende-zu-Ende-Dienstgüte, überprüft. 

Publikationen

• Ming Li and Phuong Nga Tran and Dimin Wang and Andreas Timm-Giel: Radio Resource Allocation in LTE using Utility Functions based on Moving Average Rates IEEE WCNC'14 Track 2 (MAC and Cross-Layer Design) (IEEE WCNC'14 Track 2 : MAC, April 2014. In this paper, we propose a new algorithm to solve the downlink resource allocation problem in LTE networks taking the channel conditions into account. We first formulate the problem as a convex optimization problem, which maximizes the aggregated utility of all users. Different from other papers of the same topic, we construct the utility function based on the Exponential Moving Average (EMA) rate instead of the instantaneous data rate. The advantage of this approach is that it guarantees the users with very bad channel conditions still to be scheduled, especially when the number of Physical Resource Blocks (PRBs) is smaller than the number of users. The problem is solved optimally with the Lagrangian decomposition method. Extensive simulations have been carried out to compare our approach to the instantaneous data rate approach and to analyze the influence of the system parameters on the behavior of the algorithm..