Analytical Approach to Model the Fade Depth and the Fade Margin in UWB Channels

Llano, Gonzalo; Reig, Juan; Rubio, Lorenzo

doi:10.1109/tvt.2010.2070815

Cited by 13 publications

(8 citation statements)

References 21 publications

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“…Therefore, we are focusing on developing and analyzing methods for spectrum sensing and data compression for enabling low complexity and high speed signal processing. Considering a broadband wireless scenario, the parameters to be measured in order to obtain an adequate description of the channel state and link budget behavior, are following: spectrum sense usage, received signal strength or average power vs frequency, fade depth and fade margin which are proposed to be measured for accurate channel estimation [13]. In our case, with respect to resource allocation that is finally our challenge, it is necessary to estimate RSS (radio signal strength) in order to know the availability of the spectrum.…”

Section: A Scenario Between Metropolitan Network and Femtocellsmentioning

confidence: 99%

Centralized Spectrum Broker and Spectrum Sensing with Compressive Sensing techniques for resource allocation in Cognitive Radio Networks

Alfonso

Betancur

2013

2013 IEEE Latin-America Conference on Communications

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In this paper we present a new approach of Spectrum Sensing using a Compressive Sensing technique named Finite Rate of Innovation in a Cognitive Radio Network with centralized Spectrum Management based Spectrum Broker in the next generation wireless communications networks. Through this document it will shown under simulations that the use of compressive sensing techniques improves the performance of the control channel in cognitive radio due the traffic control protocol requires smaller packet sizes. The performance of the cognitive network in function of the control packet size, was determinate by analysis of collisions when different secondary users trying to access spectrum resources and they make the request to the Spectrum Broker. We observed that there are fewer collisions between control packets and collision probability is smaller if compressive technique is used, thus improving the performance in a fair resource allocation for cognitive radio networks.

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Section: A Scenario Between Metropolitan Network and Femtocellsmentioning

confidence: 99%

Centralized Spectrum Broker and Spectrum Sensing with Compressive Sensing techniques for resource allocation in Cognitive Radio Networks

Alfonso

Betancur

2013

2013 IEEE Latin-America Conference on Communications

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“…The evaluation of the integral has been conducted in [22], here we use the same approach but we correct few minor mistakes of [22] regarding the signs of phases and definition of :…”

Section: Fading In Confined Environments 21 Analytical Model Of Fadingmentioning

confidence: 99%

Frequency-selective fading of ultrawideband wireless channels in confined environments

Sipal

Gelabert

Allen

et al. 2011

IET Microw. Antennas Propag.

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“…Then, mean power for the IEEE 802.15.4a result to solve the Eq. (42) according to (Llano et al, 2010) as where W k,l is the average power of each contribution in the 802.15.4a UWB channel calculated from the Eq. (16).…”

Section: A Channel Powermentioning

confidence: 99%

“…where After carry out simple mathematical operation in Eq. (73), power Y P% in linear units (mW) not exceeded with a probability P% is given according to (Llano et al, 2010)…”

Section: Fade Marginmentioning

confidence: 99%

Frequency UWB Channel

Llano¹,

Cuéllar²,

Cadavid³

2011

Ultra Wideband Communications: Novel Trends - Antennas and Propagation

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Ultra wideband (UWB) transmission systems are characterized with either a fractional bandwidth of more that 20%, or a large absolute bandwidth (>500 MHz) in the 3.1 GHz to 10.6 GHz band, and for a very low power spectral density (-41.25 dBm/MHz, equivalent to 75nW/MHz), which allows to share the spectrum with other narrowband and wideband systems without causing interference (FCC, 2002), this spectral allocation has initiated an extremely productive activity for industry and academia. Wireless communications experts now consider UWB as available spectrum to be utilized with a variety of techniques and not specifically related to the generation and detection of short RF pulses as in the past (Batra, 2004). For this reason, UWB systems are emerging as the best solution for high speed short range indoor wireless communication and sensor networks, with applications in home networking, high-quality multimedia content delivery, radars systems of high accuracy, etc. UWB has many attractive properties, including low interference to and from other wireless systems, easier wall and floor penetration, and inherent security due to its Low Probability Interception/Detection (LPI/D). Two of the most promising applications of UWB are High Data Rate Wireless Personal Area Network (HDR-WPAN), and Sensor Networks, where the good ranging and geo-location capabilities of UWB are particularly useful and of interest for military applications (Molisch, 2005)

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Analytical Approach to Model the Fade Depth and the Fade Margin in UWB Channels

Cited by 13 publications

References 21 publications

Centralized Spectrum Broker and Spectrum Sensing with Compressive Sensing techniques for resource allocation in Cognitive Radio Networks

Centralized Spectrum Broker and Spectrum Sensing with Compressive Sensing techniques for resource allocation in Cognitive Radio Networks

Frequency-selective fading of ultrawideband wireless channels in confined environments

Frequency UWB Channel

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