Wireless Network Design: Optimization Models and Solution ...

6 Optimization Based WLAN Modeling and Design 143
Table 6.6 Scaled Capacity Values for Random MD Locations
APs Selected MDs Frequencies Enumeration GeneticAlg NeighborSearch TabuSearch
20 5 30 2 100 129 97 108
20 5 30 3 100 129 102 99
20 5 40 2 100 103 96 99
20 5 40 3 100 115 81 101
20 6 30 2 100 102 95 95
20 6 30 3 100 93 98 96
20 6 40 2 100 94 99 98
20 6 40 3 100 75 104 87
20 7 30 2 100 99 105 100
20 7 30 3 100 111 101 117
20 7 40 2 100 102 114 103
20 7 40 3 100 103 108 90
27 5 30 2 100 89 83 87
27 5 30 3 100 129 117 124
27 5 40 2 100 121 97 109
27 5 40 3 100 73 74 84
27 6 30 2 100 116 101 116
27 6 30 3 100 118 96 104
27 6 40 2 100 115 115 110
27 6 40 3 100 99 95 98
27 7 30 2 100 134 102 112
27 7 30 3 100 105 105 103
27 7 40 2 100 94 84 93
27 7 40 3 100 105 121 98
34 5 30 2 100 108 97 94
34 5 30 3 100 103 99 102
34 5 40 2 100 136 94 103
34 5 40 3 100 66 71 85
34 6 30 2 100 106 105 110
34 6 30 3 100 98 102 84
34 6 40 2 100 122 105 108
34 6 40 3 100 115 122 123
34 7 30 2 100 89 83 75
34 7 30 3 100 93 84 78
34 7 40 2 100 106 109 105
34 7 40 3 100 117 116 101
6.4 Summary and Conclusions
One of the most difficult issues involved in the design of WLANs is obtaining good
attenuation data. In a limited range ISM spectrum environment, radio signals are
affected by the type and location of office furniture, the location and type of construction
materials used for walls and floors, and by the interference caused by other
radio frequency devices located in their close proximity. This issue is addressed
in Chapter 3, Wireless Channel Modeling. Given that this type of data can be obtained,
estimated, or measured, there are several decisions that arise in the design