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In the event of a cyber attack it is important for network defenders to make quick, informed decisions to secure assets. However, the human decision making process is slow and inefficient compared to the speed at which cyber operations can occur. The use of a decision support system (DSS) would help aid agility decisions to shorten the amount of time a network is insecure. In tactical military networks,...
This paper describes the concept of Fixed Access Network Sharing (FANS), a new way of virtualizing broadband access that enables multiple operators to share a network. FANS will offer a vibrant broadband environment, economically sharing costs among multiple operators. FANS will help speed the deployment of super-fast broadband and provide a platform for virtual operators to offer innovative new services...
We consider a heterogeneous wireless network serving two classes of users: mobile and fixed. Mobile users can only associate with macro-cells while fixed users can be served by either macro- or small-cells. Multiple service providers (SPs) can operate in the network and each has the same macro-cell infrastructure. In contrast, each SP determines a small-cell deployment density by its investment. Each...
Bussgang algorithms for blind equalization (BE) are well-known techniques that use known constellation properties of the source symbols. BE has also been based on independent component analysis (ICA) methods, where independence of the symbols is exploited. When channel outputs are processed in blocks, as in the ICA algorithms, extra computational cost is incurred for matrix operations. In this paper...
In decentralized cooperative sensing for cognitive radio, a few secondary users (SUs) sense the spectrum, process individual observation and then pass quantized data to the fusion center (FC), where the decision on signal present hypothesis or signal absent hypothesis is made. When the reporting channels between SUs and the FC are bandlimited and error prone, a quantization scheme was proposed recently...
In previous work we proposed a direction of arrival (DOA) estimation method from non-coherent measurements taken by an array of sensors. Here, it is shown that the non-coherent measurements in the form of magnitude squared of array observations measured in the presence of additive white Gaussian noise are distributed according to a non-central chisquare distribution. It is further shown that, under...
In this paper, we investigate the benefits offered by radiation pattern diversity in reconfigurable antenna arrays and place these benefits in context with spatial diversity provided by conventional antenna arrays. These antennas provide pattern diversity that can improve capacity and offers a unique opportunity for antenna system miniaturization for portable wireless devices. We use a common modeling...
We consider a wireless network of M users connected to an access point in the presence of N jammers whose purpose is to deny or degrade the performance of the users by injecting interference. Using the achieved signal to inference plus noise ratio (SINR) as the performance metric, we study the dynamics of such a distributed denial of service attack (DDoA) by using Evolutionary Game Theory (EGT). Specifically,...
In recent years, the advancements in wireless communications and electronics have enabled the development of low-cost, low-power and multi-functional Wireless Sensor Networks (WSNs). As nodes in sensor networks are equipped with a limited power source, efficient utilization of power is a very important issue in order to extend the network lifetime. In this paper, a routing protocol namely GAICH (Genetic...
State estimation plays a critical role in self-detection and control of the smart grid. Data integrity attacks (also known as false data injection attacks) have shown significant potential in undermining the state estimation of power systems, and corresponding countermeasures have drawn increased scholarly interest. In this paper, we consider the existing least-effort attack model that computes the...
We develop a novel opportunistic beamforming scheme referred to as doubly opportunistic beamforming (DOBF), which is doubly selective in both users and beams based on a new type of channel state information (CSI) feedback to improve the limited feedback downlink system performance. DOBF benefits from very flexible scheduling at the transmitter, compared to the conventional opportunistic beamforming...
In this paper, we show a formal equivalence between histogram equalization and distribution-preserving quantization. We use this equivalence to connect histogram equalization to quantization for preserving anonymity under the k-anonymity metric, while maintaining distributional properties for data analytics applications. Finally, we make connections to mismatched quantization. These relationships...
In wireless sensor networks with energy harvesting nodes, we study the problem of energy allocation and storage control for distributed estimation with sensor collaboration, where collaboration refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center. To jointly design energy allocation and storage control polices, we formulate a nonconvex optimization...
This paper provides a statistical analysis of measured data from ground penetrating radar experiments at the MUMMA Laboratory, University of Dayton. A variety of statistical and spectral techniques are used to characterize the underlying statistical properties of the background data from three different experimental campaigns.
Community detection (CD) algorithms are applied to Hi-C data to discover new communities of loci in the 3D conformation of human and mouse DNA. We find that CD has some distinct advantages over pre-existing methods: (1) it is capable of finding a variable number of communities, (2) it can detect communities of DNA loci either adjacent or distant in the 1D sequence, and (3) it allows us to obtain a...
In this paper, we will show that Approximate Entropy (ApEn) can be used to detect high-quality speech frames in an otherwise distorted speech signal. By exploiting the property of quasi-periodicity in speech, ApEn is able to detect small aberrations in speech frames that would otherwise cause a decrease in the performance in an automatic speaker recognition (ASR) system. In addition, we obtain the...
In spite of the spectrum sensing importance, small part of the literature deals with the case of dependency between sensors' observations. In this paper, Bayes criterion for minimizing the probability of error (Pe) is used to find the distributed decision rule at each sensor in a binary hypothesis multi-sensor system, while considering the correlation over the sensing channels. This paper proposes...
For decades, humans have been keen on creating smart spaces where advanced technology is utilized to provide enhanced services. Receiving directions and/or being recognized within indoor spaces is one feature of smart spaces that is currently heavily researched. Indoor positioning systems (IPS) can be used to provide a wide range of user navigation and directions services, particularly in abnormal...
Stochastic approximation (SA) applies in both the gradient-free optimization (Kiefer-Wolfowitz) and the gradient-based setting (Robbins-Monro). The idea of simultaneous perturbation (SP) has been well established. This paper discusses an efficient way of implementing both the adaptive Newton-like SP algorithms and their enhancements (feedback and optimal weighting incorporated), using the Woodbury...
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