Quality of service analysis and resource allocation scheme for Long‐Term Evolution network

Abstract

SUMMARY In this paper, we analyze the quality of service (QoS) framework supported by the Long‐Term Evolution standard and model the behavior of a finite‐state downlink wireless fading channel based on the configurations and system parameters provided by the 3GPP Long‐Term Evolution and provide experimental results. The model can be used to provide realistic physical layer input to evaluate the performance of algorithms at the upper layers. For example, the medium access control layer will use this data to test the performance of scheduling, admission control, power control, and so on. The QoS requirements at the physical layer, the data link layer, and the cross‐layer modeling are stated. Then, we present a QoS‐based call admission control algorithm that considers admission of calls for future start‐up as well as the immediate and hand‐off calls with a certain priority admission scheme. Analytical study based on two‐dimensional Markov chain is also provided. We then use a stochastic discrete event simulator to evaluate the performance of the call admission control algorithm. The results obtained for look‐ahead admission are compelling and indicate the usefulness of making advance resource reservations. Copyright © 2013 John Wiley & Sons, Ltd.

Multicast routing based on data envelopment analysis with multiple Quality of Service parameters

“…The problem of constructing a constrained Steiner tree is also NP-complete [7]. Many heuristic algorithms for the constrained Steiner tree problem have been proposed such as heuristic algorithm, genetic algorithm, and ant algorithm [8][9][10][11][12][13][14][15][16][17][18].…”