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WiHaul: max-min fair wireless backhauling over multi-hop millimetre-wave links

Published: 03 October 2016 Publication History

Abstract

The mobile networking community is pursuing densification of small cell deployments to address the capacity crisis inherent to the projected exponential increase in mobile data traffic. Connecting massive numbers of access points to the Internet using optical fibre is however both very complex and expensive. In this paper we tackle small cell backhauling wirelessly, building upon recent advances in millimetre-wave technology. We propose a resource allocation algorithm for aggregate data flows traversing such multi-hop backhauls, and specify WiHaul, a light-weight hierarchical scheduling protocol that enforces the computed airtime shares and coordinates multi-hop transmissions effectively. To achieve high throughput performance while ensuring low demand flows are satisfied, we adopt a max-min fair allocation strategy. Results we present show our solution attains max-min fairness through a non-trivial partitioning of the airtime budget available in cliques of sub-flows, which depends on flow demands, their paths, and the capacities of the links traversed.

References

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S. Singh, et al., "Interference analysis for highly directional 60-GHz mesh networks: The case for rethinking medium access control," IEEE/ACM Trans. Netw., vol. 19, no. 5, Oct. 2011.
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D. J. Leith, et al., "Max-min fairness in 802.11 mesh networks," IEEE/ACM Trans. Netw., vol. 20, no. 3, pp. 756--769, 2012.
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Cited By

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  • (2019)Bacteria-Inspired Network for 5G Mobile CommunicationIEEE Network10.1109/MNET.2019.170021033:4(138-145)Online publication date: Jul-2019
  • (2019)Optimal backhauling for dense small-cell deployments using mmWave linksComputer Communications10.1016/j.comcom.2019.03.002138(32-44)Online publication date: Apr-2019
  • (2019)Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave BackhaulsMachine Learning for Networking10.1007/978-3-030-19945-6_10(146-165)Online publication date: 10-May-2019

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    cover image ACM Other conferences
    HotWireless '16: Proceedings of the 3rd Workshop on Hot Topics in Wireless
    October 2016
    75 pages
    ISBN:9781450342513
    DOI:10.1145/2980115
    • Program Chair:
    • Xinyu Zhang
    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 the author(s) 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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 October 2016

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    Author Tags

    1. backhauling
    2. max-min fairness
    3. mm-wave
    4. multi-hop

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    Cited By

    View all
    • (2019)Bacteria-Inspired Network for 5G Mobile CommunicationIEEE Network10.1109/MNET.2019.170021033:4(138-145)Online publication date: Jul-2019
    • (2019)Optimal backhauling for dense small-cell deployments using mmWave linksComputer Communications10.1016/j.comcom.2019.03.002138(32-44)Online publication date: Apr-2019
    • (2019)Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave BackhaulsMachine Learning for Networking10.1007/978-3-030-19945-6_10(146-165)Online publication date: 10-May-2019

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