the purpose of wireless networks is to provide wireless access to the fixed network (pstn)
DESCRIPTION
The most common model used for wireless networks is uniform hexagonal shape areas A base station with omni-directional antenna is placed in the middle of the cellTRANSCRIPT
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The purpose of wireless networks is to provide wireless access to the fixed network (PSTN)
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The most common model used for wireless networks is uniform hexagonal shape areas
A base station with omni-directional antenna is placed in the middle of the cell
![Page 4: The purpose of wireless networks is to provide wireless access to the fixed network (PSTN)](https://reader035.vdocument.in/reader035/viewer/2022081521/5a4d1bab7f8b9ab0599caacd/html5/thumbnails/4.jpg)
The design is done in two steps Area coverage planning Channel (Frequency) allocation
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An efficient way of managing the radio spectrum is by reusing the same frequency, within the service area, as often as possible
This frequency reuse is possible thanks to the propagation properties of radio waves
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For hexagonal cells, the number of cells in the cluster is given by
NRD
NJIJIJIN
3
,...}21,19,16,12,9,7,4,3,1{...4,3,2,1,),(22
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Frequency reuse pattern for N=3
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Frequency reuse pattern for N=7
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Frequency reuse only with a certain distance between the base stations
Standard model using 7 frequencies:
Note pattern for repeating the same color: one north, two east-north
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Fixed Channel Allocation
Fixed Channel Allocation (FCA) systems allocate specific channels to specific cells
This allocation is static and can not be changed For efficient operation, FCA systems typically
allocate channels in a manner that maximizes frequency reuse
The distance between cells using the same channel is the minimum reuse distance for that system
Disadvantage: The available channels are not being used efficiently
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Dynamic Channel Allocation
Dynamic Channel Allocation (DCA) attempts to alleviate the problem mentioned for FCA systems when offered traffic is non-uniform
In DCA systems, no set relationship exists between channels and cells
Problems: First, DCA methods typically have a degree of randomness
Secondly, DCA methods often involve complex algorithms for deciding which available channel is most efficient
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CDM systems: cell size depends on current load Additional traffic appears as noise to other users If the noise level is too high users drop out of cells
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