Multi-service Mobile Networks Research Articles

METHOD FOR FORMING OF MULTISERVICE CORE MOBILE COMMUNICATION NETWORK SLICES

Context. With the growth in the volume of mobile data traffic and the number of services provided by the mobile network, service load flows are also increasing, which necessitates changing the principles, models and methods of telecommunication flows serving in order to ensure the given quality of providing a wide range of services in flexible and cost-effective way. Advantages of scalability and elasticity with the support of a high rate of network technical resources utilization can be achieved using virtualization technologies and the concept of network slicing, that allows deploying dedicated virtual networks based on services, using the methods of network functions virtualization. In this context, the main question remains what number of network slices will be feasible in terms of the cost of slice managing and providing the required functionality. Objective. To improve the efficiency of mobile network through optimal slice forming in multiservice telecommunication network. Method. Analysis of the publications devoted to network functions virtualization has shown the organization approach of using the multiservice mobile network resources, and also showed insufficient efficiency of existing solutions on important issues of this process (the performance of the slices formation algorithm, the level of functional costs). Results. A method to model network resource allocation system, which forms dedicated network slices that serve certain types of services independently on the common infrastructure. Conclusions. The article solves the problem of constructing a method for forming multiservice core mobile communication network slices, which, due to the effective dynamic configuration of the system, allows providing a wide range of services with a given quality indicators. A model of resource management system is constructed, which is used to present a method that takes into account costs associated with excessive resource allocation, and also reduces the number of network configuration recalculations, which allows achieving a rational ratio of management costs and Quality of Service

Radio resource allocation in multi-cell and multi-service mobile network based on QoS requirements

Modern networks offer many service types that need to be considered for a fair distribution of the available radio resources. One of the main strategies of the next generation of mobile communications to deal with that traffic demand is to reduce the distances between transmitters and receivers, in order to maximize the number of available channels per area. However, this solution also comes with a drawback: the inter-cell interference becomes more significant. In this work, we present new channel-aware Physical Resource Block (PRB) assignment problems for planned and unplanned small-cell networks. The problems are modeled as Integer Linear Programming (ILP) problems in order to handle the inter-cell interference issue, considering minimum data rate requirements per User Equipment (UE). We consider a Cloud-Radio Access Network (C-RAN), in which the PRB assignment within the network can be globally managed. Specifically for planned networks, the proposed formulation guarantees a minimum data rate in different coverage regions of each cell based on UEs’ traffic services. The proposed problems differ from other C-RAN PRB assignment approaches from the literature in the sense that our proposal guarantees solutions with minimum satisfaction for each mobile service provided by the network. Since the optimal solutions of the proposed problems have exponential complexity, this work also proposes a low-complexity heuristic solution which has polynomial complexity. In the most challenging simulated scenario, the proposed heuristic achieves 3.5% of data rate loss compared with the optimal solution, while a benchmark from the literature achieves 18.5%. In another scenario, we evaluate the outage probability, i.e., the relative frequency in which an algorithm is not capable of finding a feasible solution to the problem. In that scenario we show that the outage rate of the optimal and proposed solutions are similar, achieving 15% and 17.5%, respectively, whereas the benchmark solution presents a significantly higher outage rate of 36%.

Modelling of the access part of a multi-service mobile network with service priorities

This paper presents a methodology for the modelling and optimization of multi-service radio access for universal mobile telecommunications system (UMTS) networks. The paper provides a description of the basis for modelling of a tandem pair: a wideband code division multiple access (WCDMA) interface and a Iub interface. The models involved in the study take into consideration a possibility of setting priorities to a number of selected traffic classes. Particular attention is given to the development of simple computational algorithms that would make it possible to determine the blocking probability for call streams with different priorities. The results of the analytical calculations are then compared with the results of simulation experiments, which confirms the high accuracy of the proposed analytical solutions.

A Robust M/M/1/k Scheme for Providing Handoff Dropping QoS in Multi-Service Mobile Networks

This paper presents a technique for ensuring that the probability of handoffs dropped in a multi-service mobile cellular network is kept below specified thresholds. The technique is robust in the sense that it does not require information exchanges amongst neighboring cells. The technique also accepts different Quality of Service (QoS) specifications for different grades of handoff calls and ensures that these QoS levels are preserved under changing load conditions.