La demande courante de connectivité instantanée impose un cahier des charges très strict sur la fabrication des circuits Radio-Fréquences (RF). Les circuits doivent donc être transférées vers les technologies les plus avancées, initialement introduites pour augmenter les performances des circuits purement numériques. De plus, les circuits RF sont soumis à de plus en plus de variations et cette sensibilité s’accroît avec l’avancées des technologies. Ces variations sont par exemple les variations du procédé de fabrication, la température, l’environnement, le vieillissement… Par conséquent, la méthode classique de conception de circuits “pire-cas” conduit à une utilisation non-optimale du circuit dans la vaste majorité des conditions, en termes de performances et/ou de consommation. Ces variations doivent donc être compensées, en utilisant des techniques d’adaptation.De manière plus importante encore, le procédé de fabrication des circuits introduit de plus en plus de variabilité dans les performances des circuits, ce qui a un impact important sur le rendement de fabrication des circuits. Pour cette raison, les circuits RF sont difficilement fabriqués dans les technologies CMOS les plus avancées comme les nœuds 32nm ou 22nm. Dans ce contexte, les performances des circuits RF doivent êtres calibrées après fabrication pour prendre en compte ces variations et retrouver un haut rendement de fabrication.Ce travail de these présente une méthode de calibration post-fabrication pour les circuits RF. Cette méthodologie est appliquée pendant le test de production en ajoutant un minimum de coût, ce qui est un point essentiel car le coût du test est aujourd’hui déjà comparable au coût de fabrication d’un circuit RF et ne peut être augmenté d’avantage. Par ailleurs, la puissance consommée est aussi prise en compte pour que l’impact de la calibration sur la consommation soit minimisé. La calibration est rendue possible en équipant le circuit avec des nœuds de réglages et des capteurs. L’identification de la valeur de réglage optimale du circuit est obtenue en un seul coup, en testant les performances RF une seule et unique fois. Cela est possible grâce à l’utilisation de capteurs de variations du procédé de fabrication qui sont invariants par rapport aux changements des nœuds de réglage. Un autre benefice de l’utilisation de ces capteurs de variation sont non-intrusifs et donc totalement transparents pour le circuit sous test. La technique de calibration a été démontrée sur un amplificateur de puissance RF utilisé comme cas d’étude. Une première preuve de concept est développée en utilisant des résultats de simulation.Un démonstrateur en silicium a ensuite été fabriqué en technologie 65nm pour entièrement démontrer le concept de calibration. L’ensemble des puces fabriquées a été extrait de trois types de wafer différents, avec des transistors aux performances lentes, typiques et rapides. Cette caractéristique est très importante car elle nous permet de considérer des cas de procédé de fabrication extrêmes qui sont les plus difficiles à calibrer. Dans notre cas, ces circuits représentent plus des deux tiers des puces à disposition et nous pouvons quand même prouver notre concept de calibration. Dans le détails, le rendement de fabrication passe de 21% avant calibration à plus de 93% après avoir appliqué notre méthodologie. Cela constitue une performance majeure de notre méthodologie car les circuits extrêmes sont très rares dans une fabrication industrielle. / The current demand on ubiquitous connectivity imposes stringent requirements on the fabrication of Radio-Frequency (RF) circuits. Designs are consequently transferred to the most advanced CMOS technologies that were initially introduced to improve digital performance. In addition, as technology scales down, RF circuits are more and more susceptible to a lot of variations during their lifetime, as manufacturing process variability, temperature, environmental conditions, aging… As a result, the usual worst-case circuit design is leading to sub-optimal conditions, in terms of power and/or performance most of the time for the circuit. In order to counteract these variations, increasing the performances and also reduce power consumption, adaptation strategies must be put in place.More importantly, the fabrication process introduces more and more performance variability, which can have a dramatic impact on the fabrication yield. That is why RF designs are not easily fabricated in the most advanced CMOS technologies, as 32nm or 22nm nodes for instance. In this context, the performances of RF circuits need to be calibrated after fabrication so as to take these variations into account and recover yield loss.This thesis work is presenting on a post-fabrication calibration technique for RF circuits. This technique is performed during production testing with minimum extra cost, which is critical since the cost of test can be comparable to the cost of fabrication concerning RF circuits and cannot be further raised. Calibration is enabled by equipping the circuit with tuning knobs and sensors. Optimal tuning knob identification is achieved in one-shot based on a single test step that involves measuring the sensor outputs once. For this purpose, we rely on variation-aware sensors which provide measurements that remain invariant under tuning knob changes. As an auxiliary benefit, the variation-aware sensors are non-intrusive and totally transparent to the circuit.Our proposed methodology has first been demonstrated with simulation data with an RF power amplifier as a case study. Afterwards, a silicon demonstrator has then been fabricated in a 65nm technology in order to fully demonstrate the methodology. The fabricated dataset of circuits is extracted from typical and corner wafers. This feature is very important since corner circuits are the worst design cases and therefore the most difficult to calibrate. In our case, corner circuits represent more than the two third of the overall dataset and the calibration can still be proven. In details, fabrication yield based on 3 sigma performance specifications is increased from 21% to 93%. This is a major performance of the technique, knowing that worst case circuits are very rare in industrial fabrication.

No description available.

Indoor positioning is an enabling technology primed to impact the indoor application space as Global Navigation Satellite Systems (GNSS) did for the outdoor space. Amongst the competing positioning technologies are methods of different mediums: light, radio frequency and ultra-wideband, ultrasonic, and imaging; methods of different modalities: received signal strength, angle-of-arrival, time-of-flight; and methods of different mathematics: trilateration, triangulation, machine learning, and signal processing. Light-based positioning compared to other positioning schemes exploits fixed-location directional luminaires placed regularly throughout a space as anchor points -- there is an efficiency argument for multi-purpose lighting and a cost-share argument for infrastructure-based positioning. Similar to the satellite infrastructure with GNSS, with anchor points and models for light propagation and construction, position is estimated based on received signals at active photodiode-equipped target devices. Received signal strength, a common first order attribute, alone is not noise resilient enough for centimeter-level 3D positioning. Methods using angle diversity produce better results particularly in 3D but with more complex hardware. For this dissertation, we exploit angle diversity and modulated optical sources in light-based positioning systems to estimate position to centimeter-level accuracy in 3D. We propose, analyze, and contribute two novel positioning schemes that use these concepts. One of the proposed schemes is a new hybrid 3D indoor positioning technique, Ray-Surface Positioning (RSP), which incorporates a narrow field-of-view (FOV) optical source (Ray) with wide diffuse optical sources (Surfaces) to position active devices in 3D. The second scheme, a Zone-based Positioning Service (ZPS), is a positioning scheme and architecture that incorporates an angle diverse narrow FOV optical source at the positioned device. This unique design decision allows the active device to position itself directly with respect to photovoltaic anchor points but also to position other devices in its FOV called transitive positioning. Along with these contributions, we also investigate several other related topics. Concisely, as part of the dissertation, we contribute (a) review of the state-of-the-art, (b) analysis for steering Lambertian sources, (c) method of creating angle diversity from a narrow FOV optical source, (d) novel positioning approaches in (1) RSP and (2) ZPS, (e) proof of concept prototypes for (1) RSP and (2) ZPS, and (f) architectures for indoor positioning applications.

Cognitive Radio technologies have been touted to be instrumental in solving resource-allocation problems in resource-constrained radio environments. The adaptive computational intelligence of these radios facilitates the dynamic allocation of network resources--particularly, the spectrum, a scarce physical asset. In addition to consumer-driven innovation that is governing the wireless communication ecosystem, its associated infrastructure is being increasingly viewed by governments around the world as critical national security interests--the US Military instituted the DARPA Spectrum Collaboration Challenge which requires competitors to design intelligent radios that leverage optimization, A.I., and game-theoretic strategies in order to efficiently access the RF spectrum in an environment wherein every other competitor is vying for the same limited resources. In this work, we detail the design of our radio, i.e., the design choices made in each layer of the network protocol stack, strategies rigorously derived from convex optimization, the collaboration API, and heuristics tailor-made to tackle the unique scenarios emulated in this DARPA Grand Challenge. We present performance evaluations of key components of our radio in a variety of military and disaster-relief deployment scenarios that mimic similar real-world situations. Furthermore, specifically focusing on channel access in the MAC, we formulate the spectrum sensing and access problem as a POMDP; derive an optimal policy using approximate value iteration methods; prove that our strategy outperforms the state-of-the-art, and facilitates means to control the trade-off between secondary network throughput and incumbent interference; and evaluate this policy on an ad-hoc distributed wireless platform constituting ESP32 radios, in order to study its implementation feasibility.

This thesis addresses the problem of wireless transmission between the operator station and the robot. There is a solution presented by way of testing the parameters of wireless modules, compare them in the environment and the draft protocol.

A research report submitted to the Faculty of Humanities, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Arts (in the field of ICT Policy and Regulation), October 2017 / Spectrum management reforms involve a departure from state-commanded administrative methods to market-driven property rights and or technology-enabled spectrum commons. This study explores spectrum management reforms that have been undertaken in the last decade, between 2006 and 2016, in the Southern African Development Community (SADC) region, with specific focus on the mobile broadband (MBB) industry. As a result, only spectrum bands allocated to terrestrial mobile and identified for International Mobile Telecommunications (IMT) by the International Telecommunication Union (ITU) in ITU Region 1 (Europe, Middle East and Africa) were considered. The purpose was to firstly analyse the progress thus far in reforming spectrum management practice in the region and secondly to critically analyse the effects of these reforms on the MBB industry in SADC within the framework of high demand for more spectrum as the cornerstone for rapid diffusion of MBB. Using a constructivist case study methodology, qualitative research was conducted in three SADC countries, namely, Botswana, Zambia and South Africa, representing small, medium and large markets respectively. The study draws on published documents such as policies, legislation, regulations and directly from individuals tasked with spectrum management in public and private sector organisations in these countries. The findings reveal that several market-driven reforms such as technology and service neutrality, spectrum re-farming and administrative incentive pricing (AIP), together with technology-enabled reforms such as commons or license-exempt spectrum for MBB technologies are all becoming widespread in the region. However, secondary trading and auctions have been stillborn concepts, partly due to market concentration concerns and appropriateness issues. The artificial scarcity of MBB spectrum supply in SADC is laid bare against a backdrop of general scarcity for demand and a discord over how this spectrum should be assigned and to whom. Vast amounts of allocated mobile spectrum in SADC lie fallow or are encumbered by other services such as broadcasting or at times are historically assigned to Fixed Wireless Access (FWA) applications. Analysis of the data from these three country case study provides insights that may be relevant to many other countries in the region. In conclusion, the study advances that the implementation of spectrum management reforms should be nuanced as these can impact, positively or negatively, on the distributive agenda of government. This research further advances knowledge by positing a novel conceptual framework for spectrum management reform based on the finding that the latter is not a binary exercise of a departure from administrative approach to either a market-driven or a technology-enabled one. However, spectrum management reform can be a continuum on which different elements of administrative, market-driven and technology-enabled approaches can be applied to varying degrees, depending on the respective country’s context. / XL2019

yes / This is the tenth workshop to be organised under the postgraduate programmes in electrical and electronic engineering (EEE). Over the past ten years, the Research Seminar Series has provided a snapshot of the research agenda. Early Proceedings addressed issues such as third-generation (3G) mobile and GPS satellite navigation, while in this issue, the importance of the green agenda and the influence of broadband mobile communications, smartphones and the World Wide Web are in evidence. In total, forty-five papers have been selected for the Proceedings.

No description available.

<p>A cognitive radio network is a multi-user system, in which different radio units compete for limited resources in an opportunistic manner, interacting with each other for access to the available resources. The fact that both users and spectrum holes (i.e., under-utilized spectrum sub-bands) can come and go in a stochastic manner, makes a cognitive radio network a highly non- stationary, dynamic and challenging wireless environment. Finding robust decentralized resource-allocation algorithms, which are capable of achieving reasonably good solutions fast enough in order to guarantee an acceptable level of performance, is crucial in such an environment. In this thesis, a novel dynamic spectrum management (DSM) scheme for cognitive radio networks, termed the self-organizing dynamic spectrum management (SO-DSM), is described and its practical validity is demonstrated using computer simulations. In this scheme, CRs try to exploit the primary networks’ unused bands and establish link with neighbouring CRs using those bands. Inspired by human brain, the CRs extract and memorize primary network’s and other CRs’ activity patterns and create temporal channel assignments on sub-bands with no recent primary user activities using self-organizing maps (SOM) technique. The proposed scheme is decentralized and employs a simple learning rule with low complexity and minimal memory requirements. A software testbed was developed to simulate and study the proposed scheme. This testbed is capable of simulating CR network alongside of a cellular legacy network. In addition to SO-DSM, two other DSM schemes, namely centralized DSM and no-learning decentralized DSM, can be used for CR networks in this software testbed. The software testbed was deployed on parallel high capacity computing clusters from Sharcnet to perform large scale simulations of CR network. The simulation results show, comparing to centralized DSM and minority game DSM (MG-DSM), the SO-DSM decreases the probability of collision with primary users and also probability of CR link interruption significantly with a moderate decrease in CR network spectrum utilization.</p> / Doctor of Philosophy (PhD)

This research focuses on radio wave propagation at millimeter-wave frequencies. A measurement based channel characterization approach is taken in the investigation. First, measurement techniques are analyzed. Three types of measurement systems are designed, and implemented in measurement campaigns: a narrowband measurement system, a wideband measurement system based on Vector Network Analyzer, and sliding correlator systems at 5.8+AH4AXA-mbox{GHz}, 38+AH4AXA-mbox{GHz} and 60+AH4AXA-mbox{GHz}. The performances of these measurement systems are carefully compared both analytically and experimentally. Next, radio wave propagation research is performed at 38+AH4AXA-mbox{GHz} for Local Multipoint Distribution Services (LMDS). Wideband measurements are taken on three cross-campus links at Virginia Tech. The goal is to determine weather effects on the wideband channel properties. The measurement results include multipath dispersion, short-term variation and signal attenuation under different weather conditions. A design technique is developed to estimate multipath characteristics based on antenna patterns and site-specific information. Finally, indoor propagation channels at 60+AH4AXA-mbox{GHz} are studied for Next Generation Internet (NGI) applications. The research mainly focuses on the characterization of space-time channel structure. Multipath components are resolved both in time of arrival (TOA) and angle of arrival (AOA). Results show an excellent correlation between the propagation environments and the channel multipath structure. The measurement results and models provide not only guidelines for wireless system design and installation, but also great insights in millimeter-wave propagation. / Ph. D.