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Two Tunable Frequency Duplexer Architectures for Cellular Transceivers

In this paper two architectures for tunable duplexersare presented. The tuning is accomplished through variablecapacitance and resistance. The architectures are based on athree element series-parallel resonator, with one pass and onestop frequency. Both architectures rely on filtering as well ascancellation for good Tx to Rx isolation while maintaining lowinsertion loss. The first architecture, the

Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network

The Mobile Cloud Network is an emerging cost and capacity heterogeneous distributed cloud topological paradigm that aims to remedy the application performance constraints imposed by centralised cloud infrastructures. A centralised cloud infrastructure and the adjoining Telecom network will struggle to accommodate the exploding amount of traffic generated by forthcoming highly interactive applicati

TRAMMS: Monitoring the evolution of residential broadband Internet traffic

Traffic measurements in broadband access networks are crucial from several points of view. A better understanding of traffic patterns can lead to more efficient network design, which leads to energy and cost savings for the operator and improved end user services. This paper reports on selected traffic measurement results from the Celtic TRAMMS project. The measurements were performed in broadband

Metacompiling OWL Ontologies

Ontologies, formal knowledge representation, and reasoning are technologies that have begun to gain substantial interest in recent years. We present a high-level declarative approach to writing application programs for specific ontologies, based on viewing the ontology as a domain-specific language.Our approach is based on declarative meta-compilation techniques. We have implemented a tool using t

A high-performance syntactic and semantic dependency parser

This demonstration presents a highperformance syntactic and semantic dependency parser. The system consists of a pipeline of modules that carry out the tokenization, lemmatization, part-of-speech tagging, dependency parsing, and semantic role labeling of a sentence. The system’s two main components draw on improved versions of a state-of-the-art dependency parser (Bohnet, 2009) and semantic role l

Degree-of-freedom evaluation of six-port antenna arrays in a rich scattering environment

It has been proposed that six co-located antennas, namely three electric and three magnetic dipoles, can offer up to a six-fold capacity increase in wireless channels, relative to that of single antennas. In other words, six degrees of freedom (DOFs) can be supported by co-located six-port transmit and receive antenna arrays. However, due to the complexity in designing and measuring such a six-por

A 7.5 mW 9 MHz CT Delta-Sigma Modulator in 65 nm CMOS with 69 dB SNDR and Reduced Sensitivity to Loop Delay Variations

This paper presents a 3rd-order, 3-bit continuous time (CT) Delta-Sigma modulator for an LTE radio receiver. By adopting a return-to-zero (RZ) pulse in the innermost DAC, the modulator shows a reduced sensitivity to loop-delay variations, and the additional loop delay compensation usually needed in CT modulators can be omitted. The modulator has been implemented in a 65nm CMOS process, where it oc

Power Consumption Analysis of FTTH Networks

With increasing usage of the Internet, energy consumption of network equipment has become a crucial challenge from both an economic and an environmental point of view. This paper combines users’ behavior of accessing the network with energy saving algorithms for energy-aware network equipment, and investigates potential energy savings in the access network. The study is based on a set of traffic d

Knowledge for Intelligent Industrial Robots

This paper describes an attempt to provide more intelligence to industrial robotics and automation systems. We develop an architecture to integrate disparate knowledge representations used in different places in robotics and automation. This knowledge integration framework, a possibly distributed entity, abstracts the components used in design or production as data sources, and provides a uniform

Compact UWB MIMO antenna for USB dongles with angle and polarization diversity

A compact dual-element antenna suitable for ultrawideband (UWB) MIMO operation is proposed in this work. The size of the antenna is 25 mm by 40 mm and it covers the lower UWB band of 3.15-5.15 GHz. Apart from the inherent wideband isolation obtained through the different angle and polarization characteristics in the radiation patterns of the individual elements, the gap between the two antenna ele

Reconfigurable cell array as enabler for supporting concurrent multiple standards in mobile terminals

This manuscript presents an reconfigurable architecture, suitable to process time synchronization for multiple OFDM standards. The proposed architecture is based on a coarse-grained reconfigurable cell array, and the different radio standards under analysis are IEEE 802.11n, 3GPP Long Term Evolution and Digital Video Broadcast for cellular devices. With the use of a 2-by-2 cell array, composed of

Radio and IMU based indoor positioning and tracking

Navigation using inertial measurement units (IMUs) is an interesting area of research. Due to the low cost hardware and simple implementation, the approach looks very attractive. But the performance of the IMUs to provide sub-meter accuracy over a longer period of time is still not sufficient, so different approaches have been adopted to increase the performance at the cost of extra hardware and/o

Multi-step ahead response time prediction for single server queuing systems

Multi-step ahead response time prediction of CPU constrained computing systems is vital for admission control, overload protection and optimization of resource allocation in these systems. CPU constrained computing systems such as web servers can be modeled as single server queuing systems. These systems are stochastic and nonlinear. Thus, a well-designed nonlinear prediction scheme would be able

Depth buffer compression for stochastic motion blur rasterization

Previous depth buffer compression schemes are tuned for compressing depths values generated when rasterizing static triangles. They provide generous bandwidth usage savings, and are of great importance to graphics processors. However, stochastic rasterization for motion blur and depth of field is becoming a reality even for real-time graphics, and previous depth buffer compression algorithms fail