Article

Wireless downlink data channels: user performance and cell dimensioning

Authors:

Alexandre ProutièreAuthors Info & Claims

MobiCom '03: Proceedings of the 9th annual international conference on Mobile computing and networking

Pages 339 - 352

https://doi.org/10.1145/938985.939020

Published: 14 September 2003 Publication History

Abstract

We consider wireless downlink data channels where the transmission power of each base station is time-shared between a dynamic number of active users as in CDMA/HDR systems. We derive analytical results relating user performance, in terms of blocking probability and data throughput, to cell size and traffic density. These results are used to address a number of practically interesting issues, including the trade-off between cell coverage and cell capacity and the choice of efficient scheduling and admission control schemes.

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https://doi.org/10.1109/TMLCN.2024.3420268
Doanis PSpyropoulos T(2024)Multi-Agent DQN with Sample-Efficient Updates for Large Inter-Slice Orchestration Problems2024 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICNC59896.2024.10555923(772-777)Online publication date: 19-Feb-2024
https://doi.org/10.1109/ICNC59896.2024.10555923
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Index Terms

Wireless downlink data channels: user performance and cell dimensioning
1. Hardware
  1. Hardware validation

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Published In

cover image ACM Conferences

MobiCom '03: Proceedings of the 9th annual international conference on Mobile computing and networking

September 2003

376 pages

ISBN:1581137532

DOI:10.1145/938985

Conference Chair:
David B. Johnson
Rice University
,
Program Chairs:
Anthony D. Joseph
University of California, Berkeley
,
Nitin H. Vaidya
University of Illinois at Urbana-Champaign

Copyright © 2003 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 2003

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MobiCom03

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MobiCom03: Ninth Annual International Conference on Mobile Computing and Networking

September 14 - 19, 2003

CA, San Diego, USA

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MobiCom '03 Paper Acceptance Rate 27 of 281 submissions, 10%;

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

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https://doi.org/10.1109/TMLCN.2024.3420268
Doanis PSpyropoulos T(2024)Multi-Agent DQN with Sample-Efficient Updates for Large Inter-Slice Orchestration Problems2024 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICNC59896.2024.10555923(772-777)Online publication date: 19-Feb-2024
https://doi.org/10.1109/ICNC59896.2024.10555923
Adamuz-Hinojosa OAmeigeiras PMuñoz PLopez-Soler J(2024)Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RANIEEE Access10.1109/ACCESS.2024.337711212(39270-39284)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3377112
Adamuz-Hinojosa OAmeigeiras PMuñoz PLopez-Soler J(2023)UE Blocking Probability Model for Planning 5G Guaranteed Bit Rate (GBR) RAN SlicesIEEE Transactions on Vehicular Technology10.1109/TVT.2023.326652672:9(12124-12138)Online publication date: Sep-2023
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Simatos FSimonian A(2020)Mobility can drastically improve the heavy traffic performance from $$\frac{1}{1-\varrho }$$11-ϱ to $$\log (1/(1-\varrho ))$$log(1/(1-ϱ))Queueing Systems10.1007/s11134-020-09652-0Online publication date: 23-Mar-2020
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