NDLI: Simplified expression of the average rate of cellular networks using stochastic geometry

Content Provider	IEEE Xplore Digital Library
Author	Guidotti, A. Di Renzo, M. Corazza, G.E. Santucci, F.
Copyright Year	2012
Description	Author affiliation: L2S, UMR 8506 CNRS - SUPELEC - Univ Paris-Sud, Laboratory of Signals and Systems (L2S), French National Center for Scientific Research (CNRS), École Supérieure d'Électricité (SUPÉLEC), University of Paris-Sud XI (UPS), 3 rue Joliot-Curie, 91192 Gif-sur-Yvette (Paris), France (Di Renzo, M.) \|\| University of L'Aquila, Dept. of Electrical and Information Engineering, Center of Excellence DEWS, Via G. Gronchi 18, Nucleo Industriale di Pile, 67100 L'Aquila, Italy (Santucci, F.) \|\| University of Bologna, Dept. of Electronics, Computer Engineering and Systems (DEIS), Viale Risorgimento 2, 40136 Bologna, Italy (Guidotti, A.; Corazza, G.E.)
Abstract	Accurate modeling of network interference, deep understanding of its impact on the achievable performance, and development of efficient techniques to mitigate or exploit it are three important and fundamental research assets in current and next-generation cellular networks. In this context, Andrews, Baccelli, and Ganti [1] have recently introduced a new analytical approach to estimate coverage and rate of cellular networks subject to other-cell interference. In this paper, we move from the approach developed in [1], and propose an alternative analytical derivation to compute the rate of cellular networks. More specifically, by using stochastic geometry and Poisson point processes theory, we derive a simple and easy-to-compute expression of the rate, which can be used for arbitrary network and channel parameters, e.g., path-loss exponent, receiver noise, density of Base Stations (BSs), etc. Compared to [1], our framework has two main distinguishable features: i) the rate can be computed via a single numerical integral, rather than via a three-fold numerical integral; and ii) the formula is applicable to arbitrary fading distributions on the intended link, rather than being useful for Rayleigh fading only. Our analytical derivation is substantiated through extensive Monte Carlo simulations.
Starting Page	2398
Ending Page	2403
File Size	273728
Page Count	6
File Format	PDF
ISBN	9781457720529
ISSN	15503607
e-ISBN	9781457720536
e-ISBN	9781457720512
DOI	10.1109/ICC.2012.6363741
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rayleigh channels Interference Stochastic processes Geometry Aggregates Computational modeling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Average Rate of Downlink Heterogeneous Cellular Networks over Generalized Fading Channels: A Stochastic Geometry Approach

SIR asymptotics in general cellular network models

Stochastic Geometry Modeling of Coverage and Rate of Cellular Networks Using the Gil-Pelaez Inversion Theorem

Stochastic geometry modeling and analysis of backhaul-constrained Hyper-Dense Heterogeneous cellular networks

Modeling and analysis of HetNet interference using Poisson Cluster Processes

The Equivalent-in-Distribution (EiD)-Based Approach: On the Analysis of Cellular Networks Using Stochastic Geometry

Characterizing random CSMA wireless networks: A stochastic geometry approach

Comparison of inter-cell interference models for cellular networks

Error performance analysis in K-tier uplink cellular networks using a stochastic geometric approach

Simplified expression of the average rate of cellular networks using stochastic geometry

Similar Documents

Average Rate of Downlink Heterogeneous Cellular Networks over Generalized Fading Channels: A Stochastic Geometry Approach

SIR asymptotics in general cellular network models

Stochastic Geometry Modeling of Coverage and Rate of Cellular Networks Using the Gil-Pelaez Inversion Theorem

Stochastic geometry modeling and analysis of backhaul-constrained Hyper-Dense Heterogeneous cellular networks

Modeling and analysis of HetNet interference using Poisson Cluster Processes

The Equivalent-in-Distribution (EiD)-Based Approach: On the Analysis of Cellular Networks Using Stochastic Geometry

Characterizing random CSMA wireless networks: A stochastic geometry approach

Comparison of inter-cell interference models for cellular networks

Error performance analysis in K-tier uplink cellular networks using a stochastic geometric approach

Simplified expression of the average rate of cellular networks using stochastic geometry