Title :
Algorithmic Aspects of Access Networks Design in B3G/4G Cellular Networks
Author :
Amzallag, David ; Naor, Joseph ; Raz, Danny
Author_Institution :
Technion-Israel Inst. of Technol., Haifa
Abstract :
The forthcoming 4G cellular systems will provide broadband wireless access to a variety of advanced data and voice services. In order to do that, these networks will have a significantly larger number of base stations and a much higher bandwidth demand from their radio access networks. This will motivate operators to replace the commonly used star based architecture, in which an RNC is connected to a set of base stations via direct links, with a more complex tree structure, in which a base station can be connected to an RNC via other base stations. In this paper we address algorithmic aspects of this challenging design problem, in which tree-topology is used to connect base stations and RNCs. We formulate the problem as an optimization problem and prove that it is NP-hard to approximate it in the general case. For the metric case, however, we develop an O(log n)-approximation algorithm. We then study the performance of this algorithm and several other heuristics in practical scenarios. Our results indicate that a combination of a certain greedy heuristic and the proven approximation algorithm, generates a solution that produces close to optimal results in practical scenarios and can be efficiently computed for sufficiently large network sizes.
Keywords :
3G mobile communication; 4G mobile communication; approximation theory; broadband networks; cellular radio; optimisation; radio access networks; telecommunication network topology; B3G/4G cellular network; access network design; algorithmic aspect; approximation algorithm; base station; broadband wireless access; optimization problem; tree-topology; Algorithm design and analysis; Bandwidth; Base stations; Computer networks; Degradation; Frequency; Land mobile radio cellular systems; Radio access networks; Radio control; Radio network;
Conference_Titel :
INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE
Conference_Location :
Anchorage, AK
Print_ISBN :
1-4244-1047-9
DOI :
10.1109/INFCOM.2007.120