Software

Development of several propagation-prediction models.

In the following figures, some results are presented from a 3D shooting and bouncing rays model. The model is suitable for both indoor and outdoor environment. Complex geometries can be simulated. A representative example includes estimation results from the Olympic-Stadium complex. Apart from typical path-loss estimations, delay spread, angular-spread and interference results can delivered.

Two storey building

Urban Environment

Olympic Stadium Model View 1

Olympic Stadium Model View 2

Olympic Stadium Path Gain

Olympic Stadium Equipower 3D Surfaces

Interference Map

Development of software for traffic simulation of a GSM network

The software employs several random processes. The basic idea is that an explosive-load scenario occurs during a typical busy-hour for a short time-interval.

Explosive Traffic Simulation

Development of software for traffic simulation of a DECT network

Several clients roam inside a building, communicating over a DECT technology radio-interface. Optimum planning strategies are investigated. The software is currently used for teaching purposes in the course of mobile communications in the department of Electrical and Computer Engineering of the Aristotle University of Thessaloniki.

Indoor Traffic Simulation of a DECT Technology Network

Estimation of the field from one or more UHF-RFID reader antennas

The results are based on a ray-tracing method. Radiation pattern and polarization state of the transmitting antenna and the tag's antenna are included in the estimations. Also, constitutive parameters of the walls, de-polarization effects, after interaction of the incident field with the surrounding walls, operating frequency, and all other parameters of the propagation environment are taken into account.

Direct Field

Actual Field

z-polarized field from two antennas (z-slice at 1.2m from the floor)

Development of an Algorithm for Automated Wireless-Servers' Placement

An algorithm has been developed that allows for automated wireless base-station equipment placement in an indoor environment. The following sample results are taken for an IEEE 802.11a/b/g network operating in a complex indoor facility, as shown below. Extreme throughput demands per square meter were assumed, while only three non-overlapping channels were considered. The basic idea of the algorithm is to move towards a throughput satisfaction approach, accepting some interference and not a coverage oriented approach. The algorithm is still under optimization.

Arrangement of the access points in the complex facility

Service area per access point

Channel Allocation

Signal to Noise and Interference Ratio at the APs

Throughput Satisfaction per Area of Interest

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