Steven J. Fortune, David M. Gay, et al. Wise design of indoor wireless systems. IEEE Computational Science and Engineering, 2(1):58--68, Spring 1995.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... the conflicting aims of low infrastructure cost and the requirements of the customer base (coverage, quality of service and traffic) Phased design techniques based on evolutionary algorithms have proved successful for the automatic design of second generation mobile telephony networks [3] [4], 5] 9] 10] 11] 12] 13] Although many features are common to both mobile and BFWA networks, there are several distinctions that prevent the direct application of these methods without modification. For example, due to the frequency ranges allocated for BFWA (typically 28GHz and ....

S.J. Fortune, D. M. Gay, B. W. Kernighan, O. Landron, R. A. Valenzuela, and M. H. Wright. Wise design of indoor wireless systems. IEEE Computational Science and Engineering, 2(1):58-68, 1995.

....Conclusions Taking advantage of state of the art techniques for programmable applicationoriented constraint solving, POPULAR was among the first practical tools that could optimally plan wireless communication networks. While we worked on POPULAR, without knowing from each other, the WiSE tool [FGK 95] was developed with exactly the same functionality. WiSE is written in about 7500 lines of C . For optimization WiSE uses an adaptation of the Nelder Mead direct search method that optimizes the percentage of the building covered. WiSE has been patented and is in commercial use by Lucent ....

S. J. Fortune, D. M. Gay, B. W. Kernighan et al., WiSE Design of Indoor Wireless Systems, IEEE Computational Science and Engineering, Vol. 2, No. 1, pp. 58-68, Spring, 1995.

....constraint of cc(FD) HSD95] could be used to express the disjunction. But to the best of our knowledge, a glass box system combining interval reasoning and cardinality is not available. 4 Evaluation and Conclusions While we worked on POPULAR, without knowing from each other, the WISE tool [FGK 95] was developed with exactly the same functionality. WISE is written in about 7500 lines of C . For optimization WISE uses an adaptation of the Nelder Mead direct search method that optimizes the percentage of the building covered. A recent paper [StEp96] uses the Nelder Mead method for continuous ....

S. J. Fortune, D. M. Gay, B. W. Kernighan et al., WISE Design of Indoor Wireless Systems, IEEE Computational Science and Engineering, Vol. 2, No. 1, pp. 58-68, Spring, 1995.

....4 Evaluation Taking advantage of state of the art techniques for programmable applicationoriented constraint solving, POPULAR was among the first practical tools that could optimally plan wireless communication networks. While we worked on POPULAR, without knowing from each other, the WiSE tool [2] was developed with exactly the same functionality. WiSE is written in about 7500 lines of C . For optimization WiSE uses an adaptation of the Nelder Mead direct search method that optimizes the percentage of the building covered. WiSE has been patented and is in commercial use by Lucent ....

S. J. Fortune, D. M. Gay, B. W. Kernighan et al., WiSE Design of Indoor Wireless Systems, IEEE Computational Science and Engineering, Vol. 2, No. 1, pp. 58-68, Spring, 1995. Fig. 1. Covering a medieval monastery

....evaluations of the function to be minimized are used in the optimization. Sampling methods converge slowly, and when gradient information is available, conventional methods work far better. Therefore, sampling methods are usually applied to difficult problems with complex optimization landscapes [32, 18, 22, 23, 5]. Figures 1, 2, and 3 are typical examples of such problems. 2 Problem Formulation Mathematically, the problems we consider in this paper are bound constrained optimization problems of the form: min x2 Omega f(x) 1) where x 2 Omega = fx 2 R N j L i (x) i U i g: 2) Here, fL i g N ....

Fortune, S. J., D. M. Gay, B. W. Kernighan, O. Landron, R. A. Valenzuela, and M. H. Wright: 1995, `WISE design of indoor wireless systems'. IEEE Computational Science and Engineering Spring, 58--68.

....is only available for finite domains. Evaluation For a typical office building, an optimal placement is found by POPULAR within a few minutes. The overall quality of the placements produced is comparable to that of a human expert. The only other comparable tool that was available in 1994 was WISE [FGK 95], which is written in about 7500 lines of C . For optimization WISE uses an adaptation of the Nelder Mead direct search method that optimizes the percentage of the building covered. The CLP code for POPULAR is just about 4000 lines with more than half of it for graphics and user interface. The ....

S. J. Fortune, D. M. Gay, B. W. Kernighan et al., WISE Design of Indoor Wireless Systems, IEEE Computational Science and Engineering, Vol. 2, No. 1, pp 58-68, Spring, 1995.

....of new methods. 1. Introduction Noisy, nonsmooth, and discontinuous, optimization problems arise in many fields of science and engineering. A few of these are semiconductor modeling and manufacturing [23] 20] 24] 19] design and callibration of instruments, 13] design of wireless systems [10], and automotive engineering, 6] 5] In this paper we consider objective functions that are perturbations of simple, smooth functions. The surface in on the left in Figure 1, taken from [24] and the graph on the right illustrate this type of problem. Figure 1: Optimization Landscapes 0 5 10 15 ....

S. J. FORTUNE, D. M. GAY, B. W. KERNIGHAN, O. LANDRON, R. A. VALENZUELA, AND M. H. WRIGHT, WISE design of indoor wireless systems, IEEE Computational Science and Engineering, Spring (1995), pp. 58--68.

....of new methods. 1. Introduction Noisy, nonsmooth, and discontinuous, optimization problems arise in many fields of science and engineering. A few of these are semiconductor modeling and manufacturing [23] 20] 24] 19] design and calibration of instruments, 13] design of wireless systems [10], and automotive engineering, 6] 5] In this paper we consider objective functions that are perturbations of simple, smooth functions. The surface in on the left in Figure 1, taken from [24] and the graph on the right illustrate this type of problem. The perturbations may be results of ....

S. J. Fortune, D. M. Gay, B. W. Kernighan, O. Landron, R. A. Valenzuela, and M. H. Wright, WISE design of indoor wireless systems, IEEE Computational Science and Engineering, Spring (1995), pp. 58--68.

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Steven J. Fortune, David M. Gay, et al. Wise design of indoor wireless systems. IEEE Computational Science and Engineering, 2(1):58--68, Spring 1995.

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Steven J. Fortune, David M. Gay, Brian W. Kernighan, Orlando Landron, Reinaldo A. Valenzuela, Margaret H. Wright; "WISE Design of Indoor Wireless Systems"; IEEE Computer Society - IEEE Computational Science and Engineering, Spring, 1995.

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S. F. Fortune, D. M. Fay, . W. Kernighan, O. Laudron, R. A. Valenzuela, and M. H. Wright, "WISE Design of Indoor Wireless Systems," IEEE Computational science and Engineering, pp. 5868, Spring 1995

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