Principles of mobile communication (2nd ed.)
By G. Stuber. 2001
1,138 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0e94a4c84fe5fa156251919d9b449950f79a3aa5
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Citations in the corpus
- Cross-layer optimization for OFDM wireless networks-part I: theoretical framework (2005, background): “To obtain the numerical results, the channel is assumed to be characterized by bad urban (BU) delay profile [34] and to suffer from shadowing with 8.”
- Transmission capacity of ad hoc networks with spatial diversity (2007, background): “The Nakagami distribution includes Rayleigh as a special case (m = 1), non-fading as a special case (m =∞), and provides a close parameterized fit for empirical data as well as the Ricean distribution for m = (K+1) 2 (2K+1) for K the Ricean factor [26].”
- Great expectations: the value of spatial diversity in wireless networks (2004, background): “could be further organized into “cells” [237] where users geographically close to each other share the wireless spectrum and the frequencies can be reused in other distant geographical locations (see, for example, [213], [277]).”
- Queuing with adaptive modulation and coding over wireless links: cross-Layer analysis and design (2005, methodology): “An one-to-one mapping between the Ricean factor and the Nakagami fading parameter allows also Ricean channels to be well approximated by Nakagamichannels [21] , we assume constant power transmission, and partition the entire SNR range into nonoverlapping consecutive intervals, with boundary points d”
- Fluid Antenna Systems (2020, methodology): “With 2-D isotropic scattering and an isotropic receiver port, the autocorrelation functions of the channel satisfy [11]”
- Cognitive radio networking and communications: an overview (2011, unknown): “tems with feedback channels [22].”
- An optimal lognormal approximation to lognormal sum distributions (2004, methodology): “Farley’s method [1] is also widely used [3], [10], [12] to approximate lognormal sum distributions.”
- An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels (2009, result): “( √ The simplest case is Clarke’s Doppler PSD 1 / ) [22], which can be obtained from (28) by setting 𝐾 𝑝𝑞 = 0 (NLoS condition), 𝑘 𝑇𝑅𝑅 = 0 (isotropic scattering around the Rx), 𝜒 =0 (no frequency separation), 𝑓 𝑇 𝑚𝑎𝑥 = 𝜂 𝑆𝐵 1 = 𝜂 𝑆𝐵 3 = 𝜂 𝐷𝐵 =0 ( fi xed Tx, no scattering around…”
- The Complex Gradient Operator and the CR-Calculus ECE275A - Lecture Supplement - Fall 2005 (2009, methodology): “The Complex Gradient Operator and the CR-Calculus ECE275A – Lecture Supplement – Fall 2005 Kenneth Kreutz–Delgado Electrical and Computer Engineering Jacobs School of Engineering University of California, San Diego VERSION ECE275CG-F05v1.”
- Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links (2004, methodology): “An one-to-one mapping between the Ricean factor and the Nakagami fading parameter allows also Ricean channels to be well approximated by Nakagami- channels [15].”
- A cross-layer scheduling algorithm with QoS support in wireless networks (2006, methodology): “A one-to-one mapping between the Ricean factor and the Nakagami fading parameter m allows Ricean channels to be well approximated by the Nakagamim channels [22].”
- Coverage-preserving routing protocols for randomly distributed wireless sensor networks (2007, methodology): “In this work, we use a simple propagation loss model expressed as [14]”
- Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms (2002, methodology): “Furthermore, the autocorrelation function of the squared envelope asymptotically approaches the desired autocorrelation of [7] as the number of sinusoids approaches infinity, while good approximation has been observed when is not less than 8.”
- Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks (2006, background): “In this case, the MRC statistic outperforms the LRT-CS statistic.”
- Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks (2008, background): “Assume that the CR users experience independent Nakagami fading channels [4] with the same average SNR, γ̄, then the PDF of the instantaneous SNR, γ, is given by”