Design Article

Introduction to Wireless Systems--A Tutorial--Part II

Bruce A. Black, Philips S. DiPiazza, Bruce A. Ferguson, David R. Voltmer, Frederick C. Berry

7/27/2008 5:55 PM EDT

Editor's Note:
Here isPart I of the article. Also, check out the Mobile Handset DesignLine site. During the publishing of this book excerpt, I'm putting up crossword puzzles for a chance to win your very own copy of this recently published book. Watch for the latest one in the blog section.

Cellular Concepts
Interference control is the key to allowing reuse of channels within a given geographic area. We therefore begin our discussion of cellular concepts by developing a simple model to predict the interference levels caused by geographically separated transmitters operating on a common channel.

Consider two cells whose base stations (BS1 and BS2 respectively) are separated by a distance D. Each base station has a circular coverage area of radius R as shown in Figure 4.1. Assume that the propagation environment is uniform within and completely surrounding the two cells and that the path-loss exponent is ½. Let the two base stations receive on the same channel, with center frequency f1. Also shown in Figure 4.1 are two mobile units, MU1 and MU2, served by base stations BS1 and BS2 respectively. The mobile units are located at the boundaries of their respective cells, each at distance R from its base station. To keep the discussion simple, we consider transmission on the reverse channel, from mobile unit to base station, only.


Figure 4.1 Cochannel interference from a Single Source

From our work in Chapter 3, the level of the signal received at base station BS1 from mobile unit MU1 can be expressed as:


where K1 is a constant that incorporates the transmitter power, the antenna gains, the antenna heights, and so on. The received signal level at base station BS1 from mobile unit MU2 can be written:


Now from the perspective of base station BS1, P1 represents "signal" and P2 is cochannel interference. The signal-to-noise-and-interference ratio at base station BS1 is:


Where Pn is thermal noise referred to the base station input. When the receiver noise is significantly greater than the interference--that is, when Pn > > P2--we describe the system as "noise limited," as explained earlier. For this case:


When the received noise is significantly less than the interference--that is, when Pn < < P2--the system is "interference limited." Then we can write:


For identical mobile units transmitting at the same power level, the previous Equation becomes:


The locations of the mobile units in Figure 4.1 have been chosen to illustrate the worst case of signal-to-interference ratio (SIR). Mobile unit MU1 is at the perimeter of its cell, as far as possible from the base station serving it. Mobile unit MU2 is also at the perimeter of its cell, as close to base station BS1 as it can get while remaining in the cell served by BS2. It should be evident that for this geometry the signal-to-interference ratio would be the same if we calculated it at base station BS2 or at either mobile unit.

In a realistic cellular system there are likely to be more than two cells, and cochannel interference may come from more than one source. If there are J cells surrounding base station BS1, each containing a mobile unit, and all of these mobile units are transmitting on the same channel, then the signal-to-interference ratio at BS1 can be written


where Pj, j = 2,...,J = 1 represent cochannel interference from mobile units in the surrounding cells. In the discussion that follows, we will see that in the most important case all of the interference sources are identical, and all are located at distances approximately D from the base station BS receiver. In this case Equation (4.9) becomes



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Sanati

7/30/2008 3:30 AM EDT

educative

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