A unified model for interference analysis in unlicensed frequency bands

Shobowale, Yemisi M.; Hamdi, Khairi Ashour

doi:10.1109/twc.2009.070276

Cited by 61 publications

(53 citation statements)

References 30 publications

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“…To facilitate the analysis, we abstract symbols from interfering sources via Gaussian codebooks as in [13], [14]. The accuracy of the Gaussian codebook approximation for interfering symbols from several constellation types have been verified in [14], [15].…”

Section: Where F T Denotes the Fourier Transform (Ft)mentioning

confidence: 99%

See 1 more Smart Citation

In-Band Full-Duplex Communications for Cellular Networks with Partial Uplink/Downlink Overlap

AlAmmouri

ElSawy

Amin

et al. 2015

2015 IEEE Global Communications Conference (GLOBECOM)

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Section: Where F T Denotes the Fourier Transform (Ft)mentioning

confidence: 99%

“…Hence, we have to average over the random variables in Ξ u and Ξ d . To do the averaging step, we exploit the following Lemma, which is given in [13],…”

Section: Performance Analysismentioning

confidence: 99%

In-Band Full-Duplex Communications for Cellular Networks with Partial Uplink/Downlink Overlap

AlAmmouri

ElSawy

Amin

et al. 2015

2015 IEEE Global Communications Conference (GLOBECOM)

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“…However, increasing r o may contradict the performance objectives of the wireless network [5], [18], [19]. Therefore, an optimal tradeoff is to be found.…”

Section: Effect Of Spatial Size Of the Field And Interferers Densmentioning

confidence: 99%

A Cumulant-Based Characterization of the Aggregate Interference Power in Wireless Networks

Aljuaid

Yanıkömeroğlu

2010

2010 IEEE 71st Vehicular Technology Conference

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Abstract-The importance of characterizing the aggregate interference power generated by a wireless network has increased with the emergence of different types of wireless networks such as ad-hoc networks, sensor networks, and cognitive radios. A cumulant-based characterization of this aggregate interference is an attractive approach. A number or recent papers in literature have dealt with cumulants of the aggregate interference but under specific scenarios. In this paper, we introduce a simple yet comprehensive method to determine the cumulants of the aggregate interference power originating from a wireless network. This method is quite general and applicable for finite and infinite network sizes, and it is flexible to encompass different system and propagation parameters such as large-scale fading, small-scale fading or even composite fading. We also investigate the behavior of these cumulants with respect to changes in the network size and fading distributions.

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“…The main idea, which is inspired by the work in [10], [11], is to approximate the interferers' transmitted symbols by Gaussian codebooks. This approximation alleviates the baseband analysis of the EiD and only requires the computation of the Laplace Transform of the probability density functions (LT) of the interference power.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks

et al. 2015

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A unified model for interference analysis in unlicensed frequency bands

Cited by 61 publications

References 30 publications

In-Band Full-Duplex Communications for Cellular Networks with Partial Uplink/Downlink Overlap

In-Band Full-Duplex Communications for Cellular Networks with Partial Uplink/Downlink Overlap

A Cumulant-Based Characterization of the Aggregate Interference Power in Wireless Networks

The Influence of Gaussian Signaling Approximation on Error Performance in Cellular Networks

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