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Capacity of large scale wireless networks under Gaussian channel model

Authors:

Xiang-Yang LiAuthors Info & Claims

MobiCom '08: Proceedings of the 14th ACM international conference on Mobile computing and networking

Pages 140 - 151

https://doi.org/10.1145/1409944.1409962

Published: 14 September 2008 Publication History

Abstract

In this paper, we study the multicast capacity of a large scale random wireless network. We simply consider the extended multihop network, where a number of wireless nodes v_i(1 ≤ i ≤ n) are randomly located in a square region with side-length a = √n, by use of Poisson distribution with density 1. All nodes transmit at constant power P, and the power decays along path, with attenuation exponent α > 2. The data rate of a transmission is determined by the SINR as B log(1 + SINR). There are n_s randomly and independently chosen multicast sessions. Each multicast has k randomly chosen terminals. We show that, when k ≤ θ₁ n/(log n)^2α+6, and n_s ≥ θ₂n^1/2+β, the capacity that each multicast session can achieve, with high probability, is at least c₈√n/n_s√k, where θ₁, θ₂, and c₈ are some special constants and β > 0 is any positive real number. Our result generalizes the unicast capacity [3] for random networks using percolation theory.

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Liu XFu LWang JWang XChen G(2019)Multicast Scaling of Capacity and Energy Efficiency in Heterogeneous Wireless Sensor NetworksACM Transactions on Sensor Networks10.1145/332249715:3(1-32)Online publication date: 30-May-2019
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Capacity of large scale wireless networks under Gaussian channel model

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Published In

cover image ACM Conferences

MobiCom '08: Proceedings of the 14th ACM international conference on Mobile computing and networking

September 2008

374 pages

ISBN:9781605580968

DOI:10.1145/1409944

General Chair:
J. J. Garcia-Luna-Aceves
University of California, Santa Cruz, USA & Palo Alto Research Center, USA
,
Program Chairs:
Raghupathy Sivakumar
Georgia Institute of Technology, USA
,
Peter Steenkiste
Carnegie Mellon University, USA

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 September 2008

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MobiCom08

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MobiCom08: Annual International Conference on Mobile Computing and Networking

September 14 - 19, 2008

California, San Francisco, USA

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Overall Acceptance Rate 440 of 2,972 submissions, 15%

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https://dl.acm.org/doi/10.1145/3338026
Liu XFu LWang JWang XChen G(2019)Multicast Scaling of Capacity and Energy Efficiency in Heterogeneous Wireless Sensor NetworksACM Transactions on Sensor Networks10.1145/332249715:3(1-32)Online publication date: 30-May-2019
https://dl.acm.org/doi/10.1145/3322497
Liu DCao ZHe YJi XHou MJiang H(2019)Exploiting Concurrency for Opportunistic Forwarding in Duty-Cycled IoT NetworksACM Transactions on Sensor Networks10.1145/332249615:3(1-33)Online publication date: 30-May-2019
https://dl.acm.org/doi/10.1145/3322496
Chang SKumar SHu YPark Y(2019)Power-Positive NetworkingACM Transactions on Sensor Networks10.1145/331768615:3(1-25)Online publication date: 17-May-2019
https://dl.acm.org/doi/10.1145/3317686
Luo JYu LZhang JWang X(2016)Nonasymptotic Multicast Throughput and Delay in Multihop Wireless NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2015.246596365:7(5525-5537)Online publication date: Jul-2016
https://doi.org/10.1109/TVT.2015.2465963
Chen YTang B(2016)Data Preservation in Base Station-Less Sensor Networks: A Game Theoretic ApproachGame Theory for Networks10.1007/978-3-319-47509-7_2(13-23)Online publication date: 26-Nov-2016
https://doi.org/10.1007/978-3-319-47509-7_2
Crary NTang BTaase SLi QXuan D(2015)Data Preservation in Data-Intensive Sensor Networks With Spatial CorrelationProceedings of the 2015 Workshop on Mobile Big Data10.1145/2757384.2757389(7-12)Online publication date: 21-Jun-2015
https://dl.acm.org/doi/10.1145/2757384.2757389
Wang CShao LLi ZYang LLi XJiang C(2015)Capacity Scaling of Wireless Social NetworksIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2014.233352426:7(1839-1850)Online publication date: 1-Jul-2015
https://doi.org/10.1109/TPDS.2014.2333524
Wang JYao YMao YSheng BMi N(2015)OMOProceedings of the 2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC)10.1109/PCCC.2015.7410279(1-8)Online publication date: 14-Dec-2015
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Tang BBagai RNilofar FYildirim M(2015)A Generalized Data Preservation Problem in Sensor Networks–A Network Flow PerspectiveAd-hoc Networks and Wireless10.1007/978-3-662-46338-3_22(275-289)Online publication date: 10-Feb-2015
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