6,415 research outputs found
TVWS policies to enable efficient spectrum sharing
The transition from analogue to the Digital Terrestrial Television (DTV) in Europe is planned to be completed by the end of the year 2012. The DTV spectrum allocation is such that there are a number of TV channels which cannot be used for additional high power broadcast transmitters due to mutual interference and hence are left unused within a given geographical location, i.e. the TV channels are geographically interleaved. The use of geographically interleaved spectrum provides for the so-called TV white spaces (TVWS) an opportunity for deploying new wireless services. The main objective of this paper is to present the spectrum policies that are suitable for TVWS at European level, identified within the COGEU project. The COGEU project aims the efficient exploitation of the geographical interleaved spectrum (TVWS). COGEU is an ICT collaborative project supported by the European Commission within the 7th Framework Programme. Nine partners from seven EU countries representing academia, research institutes and industry are involved in the project. The COGEU project is a composite of technical, business, and regulatory/policy domains, with the objective of taking advantage of the TV digital switchover by developing cognitive radio systems that leverage the favorable propagation characteristics of the UHF broadcast spectrum through the introduction and promotion of real-time secondary spectrum trading and the creation of new spectrum commons regimes. COGEU will also define new methodologies for compliance testing and certification of TVWS equipment to ensure non-interference coexistence with the DVB-T European standard. The innovation brought by COGEU is the combination of cognitive access to TV white spaces with secondary spectrum trading mechanisms.telecommunications,spectrum management,secondary spectrum market,regulation,TV white spaces,cognitive radio
Next Generation M2M Cellular Networks: Challenges and Practical Considerations
In this article, we present the major challenges of future machine-to-machine
(M2M) cellular networks such as spectrum scarcity problem, support for
low-power, low-cost, and numerous number of devices. As being an integral part
of the future Internet-of-Things (IoT), the true vision of M2M communications
cannot be reached with conventional solutions that are typically cost
inefficient. Cognitive radio concept has emerged to significantly tackle the
spectrum under-utilization or scarcity problem. Heterogeneous network model is
another alternative to relax the number of covered users. To this extent, we
present a complete fundamental understanding and engineering knowledge of
cognitive radios, heterogeneous network model, and power and cost challenges in
the context of future M2M cellular networks
Channel Fragmentation in Dynamic Spectrum Access Systems - a Theoretical Study
Dynamic Spectrum Access systems exploit temporarily available spectrum
(`white spaces') and can spread transmissions over a number of non-contiguous
sub-channels. Such methods are highly beneficial in terms of spectrum
utilization. However, excessive fragmentation degrades performance and hence
off-sets the benefits. Thus, there is a need to study these processes so as to
determine how to ensure acceptable levels of fragmentation. Hence, we present
experimental and analytical results derived from a mathematical model. We model
a system operating at capacity serving requests for bandwidth by assigning a
collection of gaps (sub-channels) with no limitations on the fragment size. Our
main theoretical result shows that even if fragments can be arbitrarily small,
the system does not degrade with time. Namely, the average total number of
fragments remains bounded. Within the very difficult class of dynamic
fragmentation models (including models of storage fragmentation), this result
appears to be the first of its kind. Extensive experimental results describe
behavior, at times unexpected, of fragmentation under different algorithms. Our
model also applies to dynamic linked-list storage allocation, and provides a
novel analysis in that domain. We prove that, interestingly, the 50% rule of
the classical (non-fragmented) allocation model carries over to our model.
Overall, the paper provides insights into the potential behavior of practical
fragmentation algorithms
A Comprehensive Survey on Networking over TV White Spaces
The 2008 Federal Communication Commission (FCC) ruling in the United States
opened up new opportunities for unlicensed operation in the TV white space
spectrum. Networking protocols over the TV white spaces promise to subdue the
shortcomings of existing short-range multi-hop wireless architectures and
protocols by offering more availability, wider bandwidth, and longer-range
communication. The TV white space protocols are the enabling technologies for
sensing and monitoring, Internet-of-Things (IoT), wireless broadband access,
real-time, smart and connected community, and smart utility applications. In
this paper, we perform a retrospective review of the protocols that have been
built over the last decade and also the new challenges and the directions for
future work. To the best of our knowledge, this is the first comprehensive
survey to present and compare existing networking protocols over the TV white
spaces.Comment: 19 page
Solving Spectrum Gridlock: Reforms to Liberalize Radio Spectrum Management in Canada in the Face of Growing Scarcity
Canada lags other countries in solving the problem of spectrum scarcity amid rising demand driven by cellphones and other wireless products. In this study, the authors call for reforms to liberalize the allocation of spectrum in Canada with a market-based approach, to increase competition, for the benefit of consumers and other end users.Economic Growth and Innovation, radio spectrum, wireless technology, Industry Canada
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