Online QoS/Revenue Management for Third Generation Mobile Communication Networks

Lohmann, Marco

Online QoS/Revenue Management for Third Generation Mobile Communication Networks

dc.contributor.advisor	Lindemann, Christoph	de
dc.contributor.author	Lohmann, Marco	de
dc.contributor.referee	Krumm, Heiko	de
dc.date.accepted	2004
dc.date.accessioned	2004-12-06T12:50:57Z
dc.date.available	2004-12-06T12:50:57Z
dc.date.created	2004-07-08	de
dc.date.issued	2004-07-13	de
dc.description.abstract	This thesis shows how online management of both quality of service (QoS) and provider revenue can be performed in third generation (3G) mobile networks by adaptive control of system parameters to changing traffic conditions. As a main result, this approach is based on a novel call admission control and bandwidth degradation scheme for real-time traffic. The admission controller considers real-time calls with two priority levels: calls of high priority have a guaranteed bit-rate, whereas calls of low priority can be temporarily degraded to a lower bit-rate in order to reduce forced termination of calls due to a handover failure. A second contribution constitutes the development of a Markov model for the admission controller that incorporates important features of 3G mobile networks, such as code division multiple access (CDMA) intra- and inter-cell interference and soft handover. Online evaluation of the Markov model enables a periodical adjustment of the threshold for maximal call degradation according to the currently measured traffic in the radio access network and a predefined goal for optimization. Using distinct optimization goals, this allows optimization of both QoS and provider revenue. Performance studies illustrate the effectiveness of the proposed approach and show that QoS and provider revenue can be increased significantly with a moderate degradation of low-priority calls. Compared with existing admission control policies, the overall utilization of cell capacity is significantly improved using the proposed degradation scheme, which can be considered as an 'on demand' reservation of cell capacity.To enable online QoS/revenue management of both real-time and non real-time services, accurate analytical traffic models for non real-time services are required. This thesis identifies the batch Markovian arrival process (BMAP) as the analytically tractable model of choice for the joint characterization of packet arrivals and packet lengths. As a key idea, the BMAP is customized such that different packet lengths are represented by batch sizes of arrivals. Thus, the BMAP enables the 'two-dimensional', i.e., joint, characterization of packet arrivals and packet lengths, and is able to capture correlations between the packet arrival process and the packet length process. A novel expectation maximization (EM) algorithm is developed, and it is shown how to utilize the randomization technique and a stable calculation of Poisson jump probabilities effectively for computing time-dependent conditional expectations of a continuous-time Markov chain required by the expectation step of the EM algorithm. This methodological work enables the EM algorithm to be both efficient and numerical robust and constitutes an important step towards effective, analytically/numerically tractable traffic models. Case studies of measured IP traffic with different degrees of traffic burstiness evidently demonstrate the advantages of the BMAP modeling approach over other widely used analytically tractable models and show that the joint characterization of packet arrivals and packet lengths is decisively for realistic traffic modeling at packet level.	en
dc.format.extent	3064751 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2003/2543
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-14874
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.subject	Code Division Multiple Access	de
dc.subject	CDMA	de
dc.subject	Numerical Analysis of Continuous-Time Markov Chains (CTMC)	en
dc.subject	Randomization Technique	en
dc.subject	Batch Markovian Arrival Process (BMAP)	en
dc.subject	Expectation Maximization (EM) Algorithm	en
dc.subject	Parameter Estimation	en
dc.subject	Third Generation (3G) Mobile Communication Networks	en
dc.subject	Code Division Multiple Access (CDMA)	en
dc.subject	Quality of Service (QoS)	en
dc.subject	Call Admission Control (CAC)	en
dc.subject	Online QoS/Revenue Management	en
dc.subject	Performance Evaluation of Mobile Communication Networks	en
dc.subject	Traffic Modeling and Characterization	en
dc.subject	CTMC	de
dc.subject	Mobile Kommunikationssysteme der Dritten Generation (3G)	de
dc.subject	Numerische Analyse zeitkontinuierlicher Markov Ketten	de
dc.subject	Dienstgüte	de
dc.subject	Randomisierung	de
dc.subject	BMAP	en
dc.subject	Batch Markovian Arrival Process	en
dc.subject	Expectation Maximization (EM) Algorithmus	en
dc.subject	Parameterschätzung	de
dc.subject	Modellierung und Charakterisierung von Verkehrslasten	de
dc.subject	Leistungsbewertung mobiler Kommunikationssysteme	de
dc.subject	CAC	de
dc.subject	Zugangskontrolle	de
dc.subject	QoS	de
dc.subject.ddc	004	de
dc.title	Online QoS/Revenue Management for Third Generation Mobile Communication Networks	en
dc.type	Text	de
dc.type.publicationtype	doctoralThesis	de
dcterms.accessRights	open access

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