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Comparison of the Influence of Intra-cell Traffic and Finite Number of Mobile Phones on the Determination of Number of Channels in the BTS of GSM Network
-
Tomislav Šuh
,
Dragan Mitić
Published/Copyright:
February 13, 2014
Abstract
In this paper we compare the influence of intra-cell connections in GSM network and the influence of the limitation of the number of traffic sources in one GSM cell on call blocking. It is proved that the influence of intra-cell connections on the loss probability is larger than the influence of limited number of traffic sources. The results are obtained by calculation and by simulation.
Received: 2013-5-10
Published Online: 2014-2-13
Published in Print: 2014-3-1
©2014 by Walter de Gruyter Berlin/Boston
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- Comparison of the Influence of Intra-cell Traffic and Finite Number of Mobile Phones on the Determination of Number of Channels in the BTS of GSM Network
- Approximate Message Passing Algorithms for Distributed Iterative Receiver
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Articles in the same Issue
- Frontmatter
- Performance Analysis of Cooperative Fixed-Gain Relaying over Asymmetric Fading Channels
- Sensing-throughput Trade off for Interference-aware Cognitive Radio Networks
- Improved Cyclostationary-Based Spectrum Sensing with Multiple Antennas in Fading and Shadowing Environments
- Distortion Range Determination Methodology
- A New Model of CFAR Detector
- Novel Teletraffic Analysis of GSM/EDGE Orthogonal Sub Channel (OSC) and Application to Spectrum Re-farming
- The Influence of the Number of Relay Antennas on the Secure DoF with Active Cooperation
- Relay Management in Energy-aware Cooperative Ad Hoc Networks: A Perspective of Stochastic Game
- Comparison of the Influence of Intra-cell Traffic and Finite Number of Mobile Phones on the Determination of Number of Channels in the BTS of GSM Network
- Approximate Message Passing Algorithms for Distributed Iterative Receiver
- An Adaptive Stopping Rule for Distributed Opportunistic Spectrum Access Systems with Multi-channel and Multi-user
- Defense against Lion Attack in Cognitive Radio Systems using the Markov Decision Process Approach
