We propose a cross-layer-model based adaptive resource-allocation scheme for the diverse quality-of-service (QoS) guarantees over downlink mobile wireless networks. Our proposed scheme dynamically assigns power-levels...
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To save the precious wireless resources In wireless networks, we Investigate cross-layer optimization schemes to reduce wireless resource consumption (WRC) for reliable mobile multicast. We characterize WRC by signal-...
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We investigate adaptive power and rate allocation schemes for multicast over fading channels in wireless networks. Specifically, we take advantage of the superposition coding to achieve high multicast throughput, wher...
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Prolonging the network lifetime is one of the most important designing objectives in wireless sensor networks (WSN). We consider a heterogeneous cluster-based WSN, which consists of two types of nodes: powerful cluste...
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We propose a Quality-of-Service (QoS) driven power- and rate-control scheme in mobile wireless networks. Specifically, the proposed scheme aims at maximizing the system throughput subject to a given delay QoS constrai...
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We investigate the variations of using the different transmit-diversity techniques for multicast in mobile wireless networks. In particular, we propose and study two different schemes using transmit-diversity for mobi...
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This paper describes the design and implementation of a hybrid intelligent surveillance system that consists of an embedded system and a personal computer (PC)-based system. The embedded system performs some of the im...
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Software risk advisory tools have been developed to support Verification and Validation (V&V) processes for NASA flight projects on the Constellation program. The Orthogonal Defect Classification COnstructive QUAL...
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ISBN:
(纸本)1563479079
Software risk advisory tools have been developed to support Verification and Validation (V&V) processes for NASA flight projects on the Constellation program. The Orthogonal Defect Classification COnstructive QUALity MOdel (ODC COQUALMO) predicts software defects introduced and removed classifying them with ODC defect types, allowing various tradeoff analyses. We have been exploring methods to design and optimize V&V processes with static and dynamic versions of the quality model by integrating it with different risk minimization techniques. These techniques allow "what-if" experimentation to determine the impact of V&V techniques on specific risks and overall flight risk. V&V techniques are quantified from a value-based perspective when the defect model is integrated with machine learning, strategic optimization and JPL's Defect Detection and Prevention (DDP) risk management method. Results to-date show that the automated methods are practical for flight projects to design higher value V&V processes in shorter time and with fewer resources.
We present simple coding strategies, which are variants of the Schalkwijk-Kailath scheme, for communicating reliably over additive white noise channels in the presence of corrupted *** specifically, we consider a fram...
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ISBN:
(纸本)9781604237924
We present simple coding strategies, which are variants of the Schalkwijk-Kailath scheme, for communicating reliably over additive white noise channels in the presence of corrupted *** specifically, we consider a framework comprising an additive white forward channel and a backward link which is used for feedback. We consider two types of corruption mechanisms in the backward link. The first is quantization noise, i.e., the encoder receives the quantized values of the past outputs of the forward channel. The quantization is uniform, memoryless and time invariant (that is, symbol-bysymbol scalar quantization), with bounded quantization error. The second corruption mechanism is an arbitrarily distributed additive bounded noise in the backward link. Here we allow symbol-by-symbol encoding at the input to the backward channel. We propose simple explicit schemes that guarantee positive information rate, in bits per channel use, with positive error exponent. If the forward channel is additive white Gaussian then our schemes achieve capacity, in the limit of diminishing amplitude of the noise components at the backward link, while guaranteeing that the probability of error converges to zero as a doubly exponential function of the block length. Furthermore, if the forward channel is additive white Gaussian and the backward link consists of an additive bounded noise channel, with signal-To-noise ratio (SNR) constrained symbol-by-symbol encoding, then our schemes are also capacity-Achieving in the limit of high SNR.
Parallel asynchronous iterative algorithms relax synchronization and communication requirements, and can potentially extend Desktop Grids beyond embarrassingly parallel applications to support a broader class of paral...
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