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Longest-queue-first scheduling under SINR interference model

Published: 20 September 2010 Publication History

Abstract

We investigate the performance of longest-queue-first (LQF) scheduling (i.e., greedy maximal scheduling) for wireless networks under the SINR interference model. This interference model takes network geometry and the cumulative interference effect into account, which, therefore, capture the wireless interference more precisely than binary interference models. By employing the ρ-local pooling technique, we show that LQF scheduling achieves zero throughput in the worst case. We then propose a novel technique to localize interference which enables us to decentralize the LQF scheduling while preventing it from having vanishing throughput in all network topologies. We characterize the maximum throughput region under interference localization and present a distributed LQF scheduling algorithm. Finally, we present numerical results to illustrate the usefulness and to validate the theory developed in the paper.

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cover image ACM Conferences
MobiHoc '10: Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
September 2010
272 pages
ISBN:9781450301831
DOI:10.1145/1860093
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: 20 September 2010

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Author Tags

  1. binary interference model
  2. greedy maximal scheduling
  3. longest-queue-first scheduling
  4. sinr interference model
  5. throughput region
  6. wireless scheduling

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  • (2023)Throughput Analysis on Slotted Underwater Acoustic Sensor Networks With Guard TimeIEEE Sensors Journal10.1109/JSEN.2022.323278823:3(3313-3320)Online publication date: 1-Feb-2023
  • (2022)Energy and Delay Guaranteed Joint Beam and User Scheduling Policy in 5G CoMP NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2021.311516221:4(2742-2756)Online publication date: Apr-2022
  • (2022)Energy-Efficient Compressive Sensing Based Data Gathering and Scheduling in Wireless Sensor NetworksWireless Personal Communications10.1007/s11277-022-10061-0128:4(2589-2618)Online publication date: 19-Oct-2022
  • (2021)Efficient Link Scheduling Solutions for the Internet of Things Under Rayleigh FadingIEEE/ACM Transactions on Networking10.1109/TNET.2021.309330629:6(2508-2521)Online publication date: Dec-2021
  • (2020)Distributed Shortest Link Scheduling Algorithms With Constant Time Complexity in IoT Under Rayleigh FadingIEEE Access10.1109/ACCESS.2020.29915158(103245-103255)Online publication date: 2020
  • (2019)Subdiffusive Load Balancing in Time-Varying Queueing SystemsOperations Research10.1287/opre.2019.185167:6(1678-1698)Online publication date: 1-Nov-2019
  • (2019)Joint Optimization of Scheduling and Power Control in Wireless Networks: Multi-Dimensional Modeling and DecompositionIEEE Transactions on Mobile Computing10.1109/TMC.2018.286185918:7(1585-1600)Online publication date: 1-Jul-2019
  • (2019)SINR Analysis and Interference Management of Macrocell Cellular Networks in Dense Urban EnvironmentsWireless Personal Communications10.1007/s11277-019-06947-1Online publication date: 30-Nov-2019
  • (2018)Interference Model Similarity Index and Its Applications to Millimeter-Wave NetworksIEEE Transactions on Wireless Communications10.1109/TWC.2017.276266717:1(71-85)Online publication date: 1-Jan-2018
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