It is widely believed that "whispering to the nearest neighbor" (ie. taking a large number of short hops) is the throughput optimal routing scheme for all ad-hoc wireless networks. We show that for power-lim...
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It is widely believed that "whispering to the nearest neighbor" (ie. taking a large number of short hops) is the throughput optimal routing scheme for all ad-hoc wireless networks. We show that for power-limited networks where processing energy is not an insignificant factor, instead of taking short hops, there exists a characteristic hop distance that, along with load balancing, can attain high throughput, even for networks with a small number of nodes. In fact, the "whisper to the nearest neighbor" routing scheme leads to strictly suboptimal uniform throughput on the order of O(radic(inN/N)) when processing energy is considered. We show that taking thetas(1) number of hops is throughput, energy, and delay optimal, achieving thetas(1) uniform capacity under uniform traffic. These results are contrary to previous results on the capacity of power-limited wireless networks under a zero-processing energy assumption, which showed that capacity increases with increasing number of nodes. Hence, failing to account for processing energy not only leads to suboptimal routing schemes, but also leads to inflated optimism about the capacity scaling behavior of power-limited wireless networks.
Accurate forecasts of tourism demand are prerequisites in the decision making process in many organizations in the private and public sectors. Any information concerning the future evolution of tourism flows is of gre...
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Accurate forecasts of tourism demand are prerequisites in the decision making process in many organizations in the private and public sectors. Any information concerning the future evolution of tourism flows is of great importance to hoteliers, tour operators and other industries concerned with tourism, services or transportation. In the last few decades international tourism demand has attracted substantial academic interest, resulting in a wide range of successful forecasting approaches. Much attention has been paid to econometric models that use regression techniques to estimate the underlying relationship between tourism demand and its determinants;unfortunately, empirical studies suggest that these models usually fail to outperform simple time series models. The current study focuses on an alternative approach, the Tourism Technical Analysis System (TTAS), incorporating the use of technical analysis techniques and building on the similarities between stock and tourism markets. The absolute and directional accuracy of TTAS is evaluated in relation to a range of time series and econometric methods for forecasting international tourism demand, using as a benchmark well-known published research.
We propose an image formation algorithm for ultrasound imaging based on sparsity-driven regularization functionals. We consider data collected by synthetic transducer arrays, with the primary motivating application be...
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This paper analyzes the gains in delay performance resulting from network coding. We consider a model of file transmission to multiple receivers from a single base station. Using this model, we show that gains in dela...
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This paper analyzes the gains in delay performance resulting from network coding. We consider a model of file transmission to multiple receivers from a single base station. Using this model, we show that gains in delay performance from network coding with or without channel side information can be substantial compared to conventional scheduling methods for downlink transmission.
In this paper, robust finite-time control problem of nonlinear systems with dynamic uncertainties is investigated. To solve this problem, a partial-state control design is proposed in a constructive way. With small-ga...
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ISBN:
(纸本)1424402093
In this paper, robust finite-time control problem of nonlinear systems with dynamic uncertainties is investigated. To solve this problem, a partial-state control design is proposed in a constructive way. With small-gain type local conditions, finite-time stabilization of a class of uncertain nonlinear systems is obtained.
Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmis...
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Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmission bandwidths assigned to a wireless communication channel, appropriate utility of available resources becomes imperative. This paper investigates fundamental relationships between accuracy of information exchange and communication resources, on a platform of wireless communication channels that involve typical system blocks of data compression, quantization, and stochastic wireless channels. The main complexity relationships developed in this paper provide rigorous trade-off between resource consumptions and information processing errors of each block. When these relationships are integrated, an optimization procedure emerges that allows optimal allocation of resources to each system block, such as compression ratio, quantization levels, and transmission speed, to maximize overall information accuracy. Consequently, the overall errors of the transmitted signal will be minimized at the receiver end.
We consider improving the performance of communications over unknown channels with unknown frequency offsets. In lieu of the commonly suggested double differential (DD) modulation/detection, we consider single differe...
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ISBN:
(纸本)1424407850
We consider improving the performance of communications over unknown channels with unknown frequency offsets. In lieu of the commonly suggested double differential (DD) modulation/detection, we consider single differential (SD) modulation/detection. We propose an approach that first estimates and compensates for the frequency offset and then detects using an existing multiple symbol detector for SD modulation. We introduce a simple data-symbol- independent frequency offset estimation method, which is reasonably accurate when using a data block larger than the one used for detection. Simulation results show that the SD modulation/detection approach proposed herein can significantly outperform the DD modulation/detection schemes.
This paper addresses finite-time stabilization and identification problems for a class of uncertain systems with unknown parameters. New finite-time control laws are constructed with a design idea based on Lyapunov fu...
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This paper addresses finite-time stabilization and identification problems for a class of uncertain systems with unknown parameters. New finite-time control laws are constructed with a design idea based on Lyapunov functions and homogeneity.
We consider improving the performance of communications over unknown channels with unknown frequency offsets. In lieu of the commonly suggested double differential (DD) modulation/detection, we consider single differe...
详细信息
We consider improving the performance of communications over unknown channels with unknown frequency offsets. In lieu of the commonly suggested double differential (DD) modulation/detection, we consider single differential (SD) modulation/detection. We propose an approach that first estimates and compensates for the frequency offset and then detects using an existing multiple symbol detector for SD modulation. We introduce a simple data-symbol-independent frequency offset estimation method, which is reasonably accurate when using a data block larger than the one used for detection. Simulation results show that the SD modulation/detection approach proposed herein can significantly outperform the DD modulation/detection schemes.
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