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Showing papers by "Romano Fantacci published in 1995"


Journal ArticleDOI
TL;DR: The performance of the proposed DCA technique has been derived by computer simulations in terms of call blocking and handover failure probabilities and comparisons with the classical fixed channel allocation (FCA) technique and other dynamic allocation algorithms recently proposed in the literature have been carried out to validate the proposed technique.
Abstract: This paper deals with an efficient dynamic channel allocation (DCA) technique applicable to terrestrial mobile cellular networks. A channel (or resource) is a fixed frequency bandwidth (FDMA), a specific time-slot within a frame (TDMA), or a particular code (CDMA), depending on the multiple access technique used. A cost function has been defined by which the optimum channel to be assigned on demand can be selected. In addition, a suitable mobility model has been derived to determine the effects of handovers on network performance. The performance of the proposed DCA technique has been derived by computer simulations in terms of call blocking and handover failure probabilities. Comparisons with the classical fixed channel allocation (FCA) technique and other dynamic allocation algorithms recently proposed in the literature have been carried out to validate the proposed technique. >

195 citations


Journal ArticleDOI
TL;DR: A performance comparison with a classical fixed channel allocation has been carried out, and it has been shown that a higher traffic density, with respect to GEO systems, is manageable by means of LEO satellites.
Abstract: Efficient dynamic channel allocation techniques with handover queuing suitable for applications in mobile satellite cellular networks, are discussed. The channel assignment on demand is performed on the basis of the evaluation of a suitable cost function. Geostationary and low Earth orbit (LEO) satellites have been considered. In order to highlight the better performance of the dynamic techniques proposed, a performance comparison with a classical fixed channel allocation (FCA) has been carried out, as regards the probability that a newly arriving call is not completely served. It has also been shown that a higher traffic density, with respect to GEO systems, is manageable by means of LEO satellites. >

174 citations


Proceedings ArticleDOI
14 Nov 1995
TL;DR: An improved technique for dynamically allocating channels in mobile satellite cellular networks and a performance comparison with other dynamic channel allocations has been carried out in order to highlight the higher efficiency of the dynamic technique proposed.
Abstract: This paper proposes an improved technique for dynamically allocating channels in mobile satellite cellular networks. Channel assignment on demand is performed on the basis of the evaluation of a cost-function. When the cell of a new call arrival does not have available channels, a single channel reconfiguration in an interfering cell is attempted in order to accept a new call. Handover requests that do not receive immediate service can be queued for a maximum time. The scenario envisaged is low Earth orbit-mobile satellite systems (LEO-MSSs). A performance comparison with other dynamic channel allocations has been carried out in order to highlight the higher efficiency of the dynamic technique proposed.

19 citations


01 Jan 1995
TL;DR: The performance of the proposed DCA technique has been derived by computer simulations in terms of call blocking and handover failure probabilities and comparisons with the classical Fixed Channel Allocation (FCA) technique and other dynamic allocation algorithms recently proposed in the literature have been carried out to validate the proposed technique.
Abstract: This paper deals with an efficient Dynamic Chan- nel Allocation @CA) technique applicable to terrestrial mobile cellular networks. A channel (or resource) is a fixed frequency bandwidth (FDMA), a specific time-slot within a frame (TDMA), or a particular code (CDMA), depending on the multiple access technique used. A cost function has been defined by which the optimum channel to be assigned on demand can be se- lected. In addition, a suitable mobility model has been derived to determine the effects of handovers on network performance. The performance of the proposed DCA technique has been derived by computer simulations in terms of call blocking and handover failure probabilities. Comparisons with the classical Fixed Channel Allocation (FCA) technique and other dynamic allocation algorithms recently proposed in the literature have been carried out to validate the proposed technique.

14 citations


Proceedings ArticleDOI
28 Apr 1995
TL;DR: It is shown how the neural network can be used to take decisions for switching packets and improve switching performance in a fast packet switching fabric with input buffers.
Abstract: This paper discusses the design of a neural network for solving some classes of combinatorial optimization problems in real time. By means of a suitable design procedure which is not based on energy arguments, it is guaranteed that the network is devoid of spurious responses. An important application is considered to a typical optimization problem arising in the telecommunications field. More specifically, we show how the neural network can be used to take decisions for switching packets and improve switching performance in a fast packet switching fabric with input buffers.