Optimal Bundle of Multimedia Services in Emerging Mobile Markets

Although various emerging technologies have been launched, they present limitations as far as offering full-scale ubiquitous services independently is concerned. In view of this fact, service providers are likely to provide bundled services among possible combinations of services. Indeed, making a timely decision regarding the value maximization of bundled service is directly related to service providers' future growth and success in the turbulent market environment. This paper aims to find the optimal service bundle among five emerging mobile services: T-DMB, S-DMB, WiBro, HSDPA, and Telematics. Considering what kinds of service features among the five emerging services offer differentiation to customers, we examine four attributes (TV, voice, portable wireless internet, and location-based services) using conjoint analysis to distinguish the service features. Our results show that TV service is the most favored among the attributes, followed by voice service in second position, and the internet and location-based service in third and fourth place respectively. Our result implies that mobile operators would be better off bundling HSDPA and S-DMB first, and then adding other services later, while fixed operators would be better off bundling WiBro and S-DMB first and other services later.telecommunications and broadcasting convergence; emerging service; 4G Technology; T-DMB; S-DMB; WiBro; HSDPA; telematics; customer preference

Optimal Bundle of Multimedia Services in Emerging Mobile Markets

Although various emerging technologies have been launched, they present limitations as far as offering full-scale ubiquitous services independently is concerned. In view of this fact, service providers are likely to provide bundled services among possible combinations of services. Indeed, making a timely decision regarding the value maximization of bundled service is directly related to service providers' future growth and success in the turbulent market environment. This paper aims to find the optimal service bundle among five emerging mobile services: T-DMB, S-DMB, WiBro, HSDPA, and Telematics. Considering what kinds of service features among the five emerging services offer differentiation to customers, we examine four attributes (TV, voice, portable wireless internet, and location-based services) using conjoint analysis to distinguish the service features. Our results show that TV service is the most favored among the attributes, followed by voice service in second position, and the internet and location-based service in third and fourth place respectively. Our result implies that mobile operators would be better off bundling HSDPA and S-DMB first, and then adding other services later, while fixed operators would be better off bundling WiBro and S-DMB first and other services later

Optimal Bundle of Multimedia Services in Emerging Mobile Markets

Although various emerging technologies have been launched, they present limitations as far as offering full-scale ubiquitous services independently is concerned. In view of this fact, service providers are likely to provide bundled services among possible combinations of services. Indeed, making a timely decision regarding the value maximization of bundled service is directly related to service providers' future growth and success in the turbulent market environment. This paper aims to find the optimal service bundle among five emerging mobile services: T-DMB, S-DMB, WiBro, HSDPA, and Telematics. Considering what kinds of service features among the five emerging services offer differentiation to customers, we examine four attributes (TV, voice, portable wireless internet, and location-based services) using conjoint analysis to distinguish the service features. Our results show that TV service is the most favored among the attributes, followed by voice service in second position, and the internet and location-based service in third and fourth place respectively. Our result implies that mobile operators would be better off bundling HSDPA and S-DMB first, and then adding other services later, while fixed operators would be better off bundling WiBro and S-DMB first and other services later

Online QoS/Revenue Management for Third Generation Mobile Communication Networks

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