Title :
Neural adaptation for optimal traffic shaping in telephone systems
Author :
Haitao, Tang ; Simula, O.
Author_Institution :
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
In this paper, a traffic shaping for optimal system utilization in telecommunication applications is introduced. The method uses the self-organizing map and a decoding method (called SOM-D) to construct an adaptive resource management for certain systems. The simulation results show that system performance can be significantly improved by using SOM-D
Keywords :
decoding; optimisation; resource allocation; self-organising feature maps; telecommunication traffic; telephone traffic; telephony; adaptive resource management; decoding method; optimal traffic shaping; self-organizing map; telephone systems; Decoding; Delay; Humans; Information science; Laboratories; Manuals; System performance; Telephony; Throughput; Traffic control;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488849
