JOURNAL ARTICLE

Handover and dynamic channel allocation techniques in mobile cellular networks

E. Del ReRomano FantacciGiovanni Giambene

Year: 1995 Journal:   IEEE Transactions on Vehicular Technology Vol: 44 (2)Pages: 229-237   Publisher: Institute of Electrical and Electronics Engineers

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.

Keywords:
Channel allocation schemes Handover Time division multiple access Computer science Cellular network Computer network Channel (broadcasting) Frequency-division multiple access Bandwidth (computing) Frame (networking) Code division multiple access Call blocking Blocking (statistics) Frequency allocation Dynamic bandwidth allocation Resource allocation Orthogonal frequency-division multiplexing Wireless Telecommunications

Metrics

188
Cited By
8.34
FWCI (Field Weighted Citation Impact)
13
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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