The impressive market spread of IFEE 802.11 based Wireless Local Area Networks (WLANs) is calling for quantitative approaches in the network planning procedure. It is common belief that such networks have the potentia...
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(纸本)0780382552
The impressive market spread of IFEE 802.11 based Wireless Local Area Networks (WLANs) is calling for quantitative approaches in the network planning procedure. It is common belief that such networks have the potentials to replace traditional indoor wired local networks and allow flexible access outdoor, eventually competing with classical cellular systems (GSM, GPRS, UMTS, etc.). The appropriate positioning of the Access Points (AP) is crucial to determine the network effectiveness. In a companion paper we argue that previously proposed approaches to coverage planning neglect the features of the IEEE 802.11 access mechanism, which limits system capacity when access points coverage areas overlap. In this paper we describe the optimization models with hyperbolic and quadratic objective functions that directly accounts system capacity and we propose heuristics combining greedy and local search phases. Computational results show that our heuristics provide near-optimal solutions within a reasonable amount of time.
Consider a unit sphere on which are placed N random spherical caps of area 4πp(N). We prove that if % MathType!MTEF!2!1!+-% feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYL...
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Consider a unit sphere on which are placed N random spherical caps of area 4πp(N). We prove that if % MathType!MTEF!2!1!+-% feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr% 4rNCHbGeaGGipm0dc9vqaqpepu0xbbG8F4rqqrFfpeea0xe9Lq-Jc9% vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x% fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaWaa0aaaeaaca% qGSbGaaeyAaiaab2gaaaWaaeWaaeaacaWGWbWaaeWaaeaacaWGobaa% caGLOaGaayzkaaGaai4Taiaad6eacaGGVaGaaeiBaiaab+gacaqGNb% Gaaeiiaiaad6eaaiaawIcacaGLPaaacqGH8aapcaaIXaaaaa!454E!\[\overline {{\rm{lim}}} \left( {p\left( N \right)\cdotN/{\rm{log }}N} \right) N caps tends to 0 as N → ∞, and if % MathType!MTEF!2!1!+-% feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr% 4rNCHbGeaGGipm0dc9vqaqpepu0xbbG8F4rqqrFfpeea0xe9Lq-Jc9% vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x% fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaWaaWaaaeaaca% qGSbGaaeyAaiaab2gaaaWaaeWaaeaacaWGWbWaaeWaaeaacaWGobaa% caGLOaGaayzkaaGaai4Taiaad6eacaGGVaGaaeiBaiaab+gacaqGNb% Gaaeiiaiaad6eaaiaawIcacaGLPaaacqGH+aGpcaaIXaaaaa!4551!\[\underline {{\rm{lim}}} \left( {p\left( N \right)\cdotN/{\rm{log }}N} \right) > 1\], then for any integer n>0 the probability that each point of the sphere is covered more than n times tends to 1 as N → ∞.
Suppose segments are distributed at random along a line, their locations being determined by a Poisson process. In the case where segment length is fixed, we compare efficiencies of several different estimates of Pois...
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Suppose segments are distributed at random along a line, their locations being determined by a Poisson process. In the case where segment length is fixed, we compare efficiencies of several different estimates of Poisson intensity. The case of random segment length is also considered, and there we study estimation procedures based on empiric properties. The one-dimensional mosaic may be viewed as an M/G/∞ queue.
In salvo firing, the smallest ballistic dispersion is not always most desirable. Deliberate increase of the ballistic dispersion can improve the probability of des- troying the target. Our concern in this dissertation...
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In salvo firing, the smallest ballistic dispersion is not always most desirable. Deliberate increase of the ballistic dispersion can improve the probability of des- troying the target. Our concern in this dissertation is the optimization of such "artificial 11 dispersion in two- dimensional salvo models. In some cases no closed form solution is available, but we are able to offer efficient methods for the computation or approximation of the salvo kill probability. In other cases we are able to derive approximate formulae for the optimal ballistic dispersion.
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