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Table Of Integrals Series And Products

It is shown that, particularly for terrestrial cellular telephony, the interference-suppression feature of CDMA (code division multiple access) can result in a many-fold increase in capacity over analog and even over competing digital techniques. A single-cell system, such as a hubbed satellite network, is addressed, and the basic expression for capacity is developed. The corresponding expressions for a multiple-cell system are derived. and the distribution on the number of users supportable per cell is determined. It is concluded that properly augmented and power-controlled multiple-cell CDMA promises a quantum increase in current cellular capacity. >

On the capacity of a cellular CDMA system

Praise for the Third Edition: "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented."IIE Transactions on Operations EngineeringThoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include:Retrial queuesApproximations for queueing networksNumerical inversion of transformsDetermining the appropriate number of servers to balance quality and cost of serviceEach chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site.With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.

Fundamentals of Queueing Theory

Information Theory and Reliable Communication

This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

We investigate the effects of multi-user diversity in a spectrum sharing system where secondary users restrictively utilize a spectrum licensed to primary users only if interference perceived at primary users is regulated below a predetermined level. This interference regulation affects the characteristics of multiuser diversity gains previously known in non-spectrum sharing systems. Our numerical and analytical results show that the multiuser diversity gain in a spectrum sharing system increases differently according to conditions given by the transmit power of secondary users, P, and a predetermined interference temperature, Q - if P is sufficiently larger than Q, the multiuser diversity gain in terms of capacity scales like log2 (W (Ns)) similarly to a previously known scaling law in the non-spectrum sharing systems, where W(middot) and Ns denote a Lambert W function and the number of secondary transmitters, respectively. However, the scaling law of multiuser diversity gain becomes log2(Ns) as P becomes sufficiently larger such that P Gt QNs.

/pdf/multi-user-diversity-in-a-spectrum-sharing-system-5gmv0oblgj.pdf

Multi-user diversity in a spectrum sharing system

Penetration of solar energy into main grid has gradually increased in recent years due to a growing number of large-scale photovoltaic (PV) farms. The power output of these PV farms may fluctuate due to a wide variability of meteorological conditions, and, thus, we need to compensate for this effect in advance. In this paper, we propose a solar power prediction model based on various satellite images and a support vector machine (SVM) learning scheme. The motion vectors of clouds are forecasted by utilizing satellite images of atmospheric motion vectors (AMVs). We analyze 4 years’ historical satellite images and utilize them to configure a large number of input and output data sets for the SVM learning. We compare the performance of the proposed SVM-based model, the conventional time-series model, and an artificial neural network (ANN) model in terms of prediction accuracy.

Solar Power Prediction Based on Satellite Images and Support Vector Machine

Small-cell networks are expected as one of key solutions for high system capacity. However, self-organizing and self-healing mechanisms are necessarily required to deploy and manage an increasing number of small-cell networks. In this paper, we consider a future small-cell network as an intelligent distributed antenna system such as an adaptive array antenna. We propose a self-organizing mechanism and a self-healing mechanism for small-cell networks through cooperative clusters. We evaluate the system performance in terms of resource utilization in both normal and failure cases of a small-cell network. The results show that proposed mechanisms outperform the conventional mechanisms.

/pdf/self-organizing-and-self-healing-mechanisms-in-cooperative-bcd3sm0u24.pdf

Self-organizing and self-healing mechanisms in cooperative small-cell networks

Due to a variability and uncertainty of photovoltaic (PV) output power, PV operators may be subject to significant penalties on forthcoming energy markets. Thus, the accurate prediction of PV output power plays a very important role in energy market. This paper proposes a novel solar prediction scheme for one-hour ahead prediction of solar irradiance based on various meteorological factors including the cloud cover and support vector machine (SVM). A $k$ -means clustering algorithm is applied to collect meteorological data and the entire data are classified into three clusters based on similar daily weather types. The same cluster data are used for the SVM regression in the training stage. We also investigate the prediction error analysis. It is shown that the solar irradiance prediction errors of each prediction scheme can be categorized to be leptokurtic and a $t$ location-scale distribution is proposed as a distribution fitting for the prediction errors. In addition, the power and energy capacities of an energy storage system (ESS), which can absorb the prediction errors, are estimated from the probability density functions. Numerical results show that the proposed SVM regression scheme significantly improves the prediction accuracy and reduces the ESS installation capacity.

Hourly Solar Irradiance Prediction Based on Support Vector Machine and Its Error Analysis

Due to high mobility of nodes in mobile ad hoc networks (MANETs), there exist frequent link breakages which lead to frequent path failures and route discoveries. The overhead of a route discovery cannot be neglected. In a route discovery, broadcasting is a fundamental and effective data dissemination mechanism, where a mobile node blindly rebroadcasts the first received route request packets unless it has a route to the destination, and thus it causes the broadcast storm problem. In this paper, we propose a neighbor coverage-based probabilistic rebroadcast protocol for reducing routing overhead in MANETs. In order to effectively exploit the neighbor coverage knowledge, we propose a novel rebroadcast delay to determine the rebroadcast order, and then we can obtain the more accurate additional coverage ratio by sensing neighbor coverage knowledge. We also define a connectivity factor to provide the node density adaptation. By combining the additional coverage ratio and connectivity factor, we set a reasonable rebroadcast probability. Our approach combines the advantages of the neighbor coverage knowledge and the probabilistic mechanism, which can significantly decrease the number of retransmissions so as to reduce the routing overhead, and can also improve the routing performance.

Dan Keun Sung

Papers

Multi-user diversity in a spectrum sharing system

Solar Power Prediction Based on Satellite Images and Support Vector Machine

Self-organizing and self-healing mechanisms in cooperative small-cell networks

Hourly Solar Irradiance Prediction Based on Support Vector Machine and Its Error Analysis

A Neighbor Coverage-Based Probabilistic Rebroadcast for Reducing Routing Overhead in Mobile Ad Hoc Networks