About: Mobile User Objective System is a research topic. Over the lifetime, 78 publications have been published within this topic receiving 333 citations. The topic is also known as: MUOS.
TL;DR: This study suggests that one of contributing factors that may support the next GPT is due to strategic investments for the U.S. Navy's Mobile User Objective System (MUOS), which is a constellation of ground-breaking satellites for next-generation narrowband tactical satellite communications system, which makes prior products obsolete.
Abstract: A fundamental problem in the field of the technological studies is to explain the source and nature of general purpose technologies (GPTs) that can support the patterns of long waves and socio-economic progress of nations. The study here confronts this problem by applying the theoretical framework of global leadership-driven innovations, which endeavors to clarify and to generalize whenever possible, the source and nature of a new GPT in a not-too-distant future. This study suggests that one of contributing factors that may support the next GPT is due to strategic investments for the U.S. Navy's Mobile User Objective System (MUOS). This scientific and technological investment for U.S. military has the purpose to reinforce U.S. global leadership and, at the same time, can induce clusters of new technology in society. The MUOS is a constellation of ground-breaking satellites for next-generation narrowband tactical satellite communications system, which makes prior products obsolete (e.g., UHF Follow-On satellites). This technological system and related technological search for U.S. military are developing new information and communications technologies (ICTs) that are bringing the future of worldwide mobile satellite communications into reality. Overall, then, this study shows, by applying a new theory, some invariant factors of the source of GPTs and a possible new technological system for supporting long-run dynamics of current Kondratieff wave and future human development in society.
TL;DR: In this article, the source and nature of general purpose technologies (GPTs) that can support the patterns of long waves and socio-economic progress of nations are investigated. And the authors suggest that one of contributing factors that may support the next GPT is due to strategic investments for the U.S. Navy's Mobile User Objective System (MUOS).
TL;DR: Detailed analytical channel modeling is provided, with the emphasis on narrowband waveforms in part I of this paper, and efficient computer simulation techniques for flat fading channel impairment have been presented.
Abstract: Performance of the mobile user objective system is dominated by the channel conditions characterized by ionospheric scintillation and multipath fading. Detail analytical channel modeling is provided, with the emphasis on narrowband waveforms in part I of this paper. Efficient computer simulation techniques for these flat fading channel impairment have also been presented.
TL;DR: A novel automatic multi-resolution general-purpose white-space detector is described and the method is applied to simulated and collected UHF data sets to illustrate the difficulty of the problem and the potential of the algorithmic solution.
Abstract: Cognitive radios must examine the contents of the RF bands potentially available for communication prior to commencing transmission. This process is often referred to as spectrum sensing, and its goal is the declaration of subbands as either occupied (black space) or unoccupied (white space). If the radio is equipped with an OFDM waveform, even a set of irregularly spaced narrow white subbands can be useful by properly selecting the subset of subcarriers on which to transmit. It is important, therefore, to provide the radio with the ability to automatically detect all available white space for a wide variety of RF scenes: densely packed emitters, arbitrarily colored background noise, mixtures of emitter bandwidths, etc. In other contexts, such as with the wideband single-carrier MUOS (Mobile User Objective System) satellite communication system, the black spaces are avoided by an adaptive multi-notch transmit filter whose passbands reflect the detected white spaces. In this paper, a novel automatic multi-resolution general-purpose white-space detector is described. To illustrate the difficulty of the problem and the potential of the algorithmic solution, the method is applied to simulated and collected UHF data sets.
TL;DR: In this paper, the authors overview key changes to the WCDMA Layer 1 to yield the MUOS waveform definition, which is a geosatellite system which in certain ways is a vastly different communications environment than the terrestrial cellular environment.
Abstract: WCDMA is a 3rd generation wireless communication system developed for terrestrial cellular systems. The Mobile User Objective System (MUOS) uses WCDMA as a basis for its waveform definition, thus exploiting the extensive development of this advanced commercial communications technology. MUOS is, however, a geosatellite system which in certain ways is a vastly different communications environment than the terrestrial cellular environment. This paper shall overview key changes to the WCDMA Layer 1 to yield the MUOS waveform definition.