A General Framework for Analyzing, Characterizing, and Implementing Spectrally Modulated, Spectrally Encoded Signals

Fourth generation (4G) communications will support many capabilities while providing universal, high speed access. One potential enabler for these capabilities is software defined radio (SDR). When controlled by cognitive radio (CR) principles, the required waveform diversity is achieved via a synergistic union called CR-based SDR. Research is rapidly progressing in SDR hardware and software venues, but current CR-based SDR research lacks the theoretical foundation and analytic framework to permit efficient implementation. This limitation is addressed here by introducing a general framework for analyzing, characterizing, and implementing spectrally modulated, spectrally encoded (SMSE) signals within CR-based SDR architectures. Given orthogonal frequency division multiplexing (OFDM) is a 4G candidate signal, OFDM-based signals are collectively classified as SMSE since modulation and encoding are spectrally applied. The proposed framework provides analytic commonality and unification of SMSE signals. Applicability is first shown for candidate 4G signals, and resultant analytic expressions agree with published results. Implementability is then demonstrated in multiple coexistence scenarios via modeling and simulation to reinforce practical utility

Technology Assessment for the Future Aeronautical Communications System

To address emerging saturation in the VHF aeronautical bands allocated internationally for air traffic management communications, the International Civil Aviation Organization (ICAO) has requested development of a common global solution through its Aeronautical Communications Panel (ACP). In response, the Federal Aviation Administration (FAA) and Eurocontrol initiated a joint study, with the support of NASA and U.S. and European contractors, to provide major findings on alternatives and recommendations to the ICAO ACP Working Group C (WG-C). Under an FAA/Eurocontrol cooperative research and development agreement, ACP WG-C Action Plan 17 (AP-17), commonly referred to as the Future Communications Study (FCS), NASA Glenn Research Center is responsible for the investigation of potential communications technologies that support the long-term mobile communication operational concepts of the FCS. This report documents the results of the first phase of the technology assessment and recommendations referred to in the Technology Pre-Screening Task 3.1 of AP-17. The prescreening identifies potential technologies that are under development in the industry and provides an initial assessment against a harmonized set of evaluation criteria that address high level capabilities, projected maturity for the time frame for usage in aviation, and potential applicability to aviation. A wide variety of candidate technologies were evaluated from several communications service categories including: cellular telephony; IEEE-802.xx standards; public safety radio; satellite and over-the-horizon communications; custom narrowband VHF; custom wideband; and military communications

Resource Allocation in Ad Hoc Networks

Unlike the centralized network, the ad hoc network does not have any central administrations and energy is constrained, e.g. battery, so the resource allocation plays a very important role in efficiently managing the limited energy in ad hoc networks. This thesis focuses on the resource allocation in ad hoc networks and aims to develop novel techniques that will improve the network performance from different network layers, such as the physical layer, Medium Access Control (MAC) layer and network layer. This thesis examines the energy utilization in High Speed Downlink Packet Access (HSDPA) systems at the physical layer. Two resource allocation techniques, known as channel adaptive HSDPA and two-group HSDPA, are developed to improve the performance of an ad hoc radio system through reducing the residual energy, which in turn, should improve the data rate in HSDPA systems. The channel adaptive HSDPA removes the constraint on the number of channels used for transmissions. The two-group allocation minimizes the residual energy in HSDPA systems and therefore enhances the physical data rates in transmissions due to adaptive modulations. These proposed approaches provide better data rate than rates achieved with the current HSDPA type of algorithm. By considering both physical transmission power and data rates for defining the cost function of the routing scheme, an energy-aware routing scheme is proposed in order to find the routing path with the least energy consumption. By focusing on the routing paths with low energy consumption, computational complexity is significantly reduced. The data rate enhancement achieved by two-group resource allocation further reduces the required amount of energy per bit for each path. With a novel load balancing technique, the information bits can be allocated to each path in such that a way the overall amount of energy consumed is minimized. After loading bits to multiple routing paths, an end-to-end delay minimization solution along a routing path is developed through studying MAC distributed coordination function (DCF) service time. Furthermore, the overhead effect and the related throughput reduction are studied. In order to enhance the network throughput at the MAC layer, two MAC DCF-based adaptive payload allocation approaches are developed through introducing Lagrange optimization and studying equal data transmission period

Catching up or being dependent: the growth of capabilities among indigenous technological integrators during Chinese development

The thesis appraises certain key processes – albeit rather limited in number and scope – widely assumed to be associated with assessing the role of technological capability building in developing country (DC) firms. The latter are affected by their DC status on both the demand side (e.g. by rapid growth of the economy via consumption and trade) and the supply side (of technological catch-up etc.). Such broad considerations set the scene for our specific study. In this thesis, the component of technological capabilities that we highlight by studying local integrated product providers is the capability for systemic product development. We argue that the organisational system of industrial firms in DCs plays a fundamental role in their technological learning performance. Here, the developmental context is stressed because we suggest that the knowledge about how to organise effective learning, termed 'social technology', is at least as scarce as the 'physical technology' in such contexts, compared with those prevailing in the developed countries. Therefore, when DC firms shift into a new domain, the organisational systems that they rely on often have to be created rather than simply selected. This may be because, as first-movers in their circumstances, even when they are informed by external sources, they have very little practical experience of carrying out similar actions successfully within their own contexts. Therefore, studying organisational building in their early phase could prove critical for understanding their capability building processes. Empirical studies of China‘s car-making and telecom-equipment sectors over the past three decades are taken to support theoretical exploration in this thesis. Some scholars (e.g. Bell and Pavitt, 1992) point out that, in DCs, the growth of production capacity does not automatically lead to the building of technological capability. The experiences of China‘s car-making and telecomequipment sectors are exactly in line with this point of view. From the mid 1980s, the Chinese government implemented a 'trading market for technology (TMFT)' policy, encouraging its backbone SOEs (State Owned Enterprises) to establish productive joint ventures (JVs) with MNCs (Multinational Corporations). By doing so, policy-makers expected backbone SOEs to undergo a bottom-up capability building trajectory via learning closely from their JV partners. We term these SOEs and their JVs the 'Group-A firms' in our research. Contrary to the expectations of policy-makers, Group-A firms were locked into the manufacturing segment even after twenty years of TMFT practices, and seldom had new systemic products developed indigenously, prior to 2005 at least. On the contrary, the indigenous advance of technological capability building has actually been led by some new entrants. Their development has been independent of the advocacy of TMFT. They relied on in-house developed products from the very beginning after entering the corresponding industries, and succeeded in building sustainable competitiveness. We term them the 'Group-B firms'. By comparing these Group-A and Group-B firms, we argue that there are distinctive differences in organisational learning systems between them. Four components are developed of the concept of organisational learning systems, i.e. the strategic intent, the authority over strategic resource allocation, the pattern of organisational mobilisation and learning integration, and the facilities and institutions for knowledge accumulation. For the latter three components, we succeed in generating a clear contrast between these two groups of firms. We undertake a thorough comparison of authority over strategic resource allocation by studying the constitution of their top committees. As for the patterns of learning mobilisation and organisational integration, we find distinct differences in the scope of knowledge communication of front-line engineers, and relevant institutional arrangements to mobilise, integrate and direct the content of communication. Regarding the facilities for knowledge accumulation and application, the study of their knowledge database building engenders a clear contrast, as well as the institutional arrangements to regulate and promote relevant activities within their organisations. We also discover significant connections between the organisational systems of Group-B firms and their processes of knowledge search, generation and accumulation. Three important mechanisms of new knowledge creation in Group-B firms are examined, namely learning through recruitment, learning through cooperative projects and learning through interaction with customers. Our empirical study reveals that the authority stressing the investment in new product and technology development, the cross-boundary inter-departmental platform of knowledge conversion, the comprehensive knowledge-accumulating facilities, and the institutions backing these components play fundamental roles in shaping these learning mechanisms. Therefore, the organisational differences of these two groups of firms are connected with the differences of these two subsets of firms‘ technological learning performances. Besides, we discuss the social roots of their organisational systems by historically revisiting China‘s industrial system. By doing so, for the research community that focuses on technological learning in DCs, this thesis advocates a shift of research from stressing assimilative processes of firms to giving more emphasis to organisational changes as a centrepiece of studies

Identification of Technologies for Provision of Future Aeronautical Communications

This report describes the process, findings, and recommendations of the second of three phases of the Future Communications Study (FCS) technology investigation conducted by NASA Glenn Research Center and ITT Advanced Engineering & Sciences Division for the Federal Aviation Administration (FAA). The FCS is a collaborative research effort between the FAA and Eurocontrol to address frequency congestion and spectrum depletion for safety critical airground communications. The goal of the technology investigation is to identify technologies that can support the longterm aeronautical mobile communication operating concept. A derived set of evaluation criteria traceable to the operating concept document is presented. An adaptation of the analytical hierarchy process is described and recommended for selecting candidates for detailed evaluation. Evaluations of a subset of technologies brought forward from the prescreening process are provided. Five of those are identified as candidates with the highest potential for continental airspace solutions in L-band (P-34, W-CDMA, LDL, B-VHF, and E-TDMA). Additional technologies are identified as best performers in the unique environments of remote/oceanic airspace in the satellite bands (Inmarsat SBB and a custom satellite solution) and the airport flight domain in C-band (802.16e). Details of the evaluation criteria, channel models, and the technology evaluations are provided in appendixes

Comparative Analysis of Spectrum Policy and Mobile Market Structure

Differences in the regulatory framework create specific path dependencies in per mobile market. Correspondingly, there is a need to assess how the mobile markets differ till now as well as the direction of the market evolution in the future. Therefore the systematic assessment of the mobile markets will present the insight of the market dynamics along with rising opportunity to make comparison between multiple mobile markets. As a part of research methodology, we first perform theoretical review regarding the previous research on the analysis of mobile market structures. We observe that most of the research focuses on either the analysis of a single market parameter for multiple mobile markets or comparison of two markets for a set of parameters in a qualitative or quantitative way. In contrast with above we take a systematic approach by taking a set of parameters for multiple mobile markets. We complete our analysis by investigating the market characteristics from spectrum policy and market structure point of view. Based on the evaluation, we assess the state-of- art outlook of the selected mobile markets: Finland, Chile, Turkey, United Kingdom, Australia, New Zealand, China, India, United States, Japan and Sweden. Based on our results, we assess that Herfindahl-Hirschmann Index is the explaining factor for the spectrum policy. In this regards, India possesses the most decentralized where China has the most centralized mobile spectrum. Market structure analysis put forward both mobile prices and investments per subscribers as the explaining factor for the market structure. Based on that, India is the most open mobile market where Japan has the most closed mobile market structure. European markets; Finland, Sweden and U.K. have more open market structure than the North American mobile market

Spectrum sharing and management techniques in mobile networks

Το φάσμα συχνοτήτων αποδεικνύεται σπάνιο κομμάτι για τους πόρους ενός κινητού δικτύου το οποίο πρέπει να ληφθεί υπόψιν στη σχεδίαση τηλεπικοινωνιακών συστημάτων 5ης γενιάς. Επιπλέον οι πάροχοι κινητών δικτύων θα πρέπει να επαναπροσδιορίσουν επιχειρησιακά μοντέλα τα οποία μέχρι τώρα δεν θεωρούνταν αναγκαία (π.χ., γνωσιακά ραδιοδίκτυα), ή να εξετάσουν την υιοθέτηση νέων μοντέλων που αναδεικνύονται (π.χ., αδειοδοτούμενη από κοινού πρόσβαση) ώστε να καλύψουν τις ολοένα αυξανόμενες ανάγκες για εύρος ζώνης. Ο μερισμός φάσματος θεωρείται αναπόφευκτος για συστήματα 5G και η διατριβή παρέχει λύση για προσαρμοστικό μερισμό φάσματος με πολλαπλά καθεστώτα εξουσιοδότησης, βάσει ενός καινοτόμου αρχιτεκτονικού πλαισίου το οποίο επιτρέπει στα δικτυακά στοιχεία να λαμβάνουν αποφάσεις για απόκτηση φάσματος. Η προτεινόμενη διαδικασία λήψης αποφάσεων είναι μία καινοτόμα τεχνική προσαρμοστικού μερισμού φάσματος βασιζόμενη σε ελεγκτές ασαφούς λογικής που καθορίζονν το καταλληλότερο σχήμα μερισμού φάσματος και σε ενισχυμένη μάθηση που ρυθμίζει τους κανόνες ασαφούς λογικής, στοχεύοντας να βρει τη βέλτιστη πολιτική που πρέπει να ακολουθεί ο πάροχος ώστε να προσφέρει την επιθυμητή ποιότητα υπηρεσιών στους χρήστες, διατηρώντας πόρους (οικονομικούς ή ραδιοπόρους) όπου είναι εφικτό. Η τελευταία συνεισφορά της διατριβής είναι ένας μηχανισμός που εξασφαλίζει δίκαιη πρόσβαση σε φάσμα ανάμεσα σε χρήστες σε σενάρια στα οποία η εκχώρηση άδειας χρήσης φάσματος δεν είναι προαπαιτούμενη.Radio spectrum has loomed out to be a scarce resource that needs to be carefully considered when designing 5G communication systems and Mobile Network Operators (MNOs) will need to revisit business models that were not of their prior interest (e.g. Cognitive Radio) or consider adopting new business models that emerge (e.g. Licensed Shared Access) so as to cover the extended capacity needs. Spectrum sharing is considered unavoidable for 5G systems and this thesis provides a solution for adaptive spectrum sharing under multiple authorization regimes based on a novel architecture framework that enables network elements to proceed in decisions for spectrum acquisition. The decision making process for spectrum acquisition proposed is a novel Adaptive Spectrum Sharing technique that uses Fuzzy Logic controllers to determine the most suitable spectrum sharing option and reinforcement learning to tune the fuzzy logic rules, aiming to find an optimal policy that MNO should follow in order to offer the desirable Quality of Service to its users, while preserving resources (either economical, or radio) when possible. The final contribution of this thesis is a mechanism that ensures fair access to spectrum among the users in scenarios in which conveying spectrum license is not prerequisite

Setting the Stage for Innovation: Balancing Diverse Interests Through Standardisation

Actors who are involved in innovation face a large, diverse range of – often conflicting – interests from stakeholders in many areas of business and society. Innovations can only succeed if they are aligned with societal demands and supported by a range of factors, such as regulation and technical infrastructures. Through three studies, this dissertation shows how standardisation helps balance these interests and create foundations for new technologies. The results reveal (1) how standards emerge in highly complex and dynamic

Open innovation: a research framework and case study of Huawei

Open innovation (OI) has received significant attention from practices and theories over the past decades. This paper investigates the role of OI and personalized patterns in firms at home and abroad, and then measures the risks involved. Firstly, this paper reviews the definition of OI, the business model innovation characteristics, and the facing problems in practice. Based on the existing literature, we illustrate the openness and challenges of business OI. By introducing bibliometrics, this paper presents a whole research framework. Based on keywords cooccurrence analysis and clustering analysis, we locate the current research hotspots and potential research opportunities from a comprehensive perspective. According to the analysis results, five clusters are obtained, including resource management and value creation; collective innovation and form sustainability; innovation management, intellectual property management, and crossborder cooperation; knowledge management and knowledge sharing; innovation ecosystem, big data, and policy-level innovation. Taking Huawei as an example, its typical business OI model is studied from the perspectives of organizational, project-related, marketing and consumer-based, and summaries the facing challenges and risks. We illustrate its financial performance, innovation performance, and development prospects. We found that, during the implementation of OI practical activities and theoretical exploration, the risks and opportunities facing small and medium-sized enterprises (SMEs) are multiple dimensional