Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces

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Hauptverfasser: Zhao, Zhongyuan, Ming, Yujun, Swami, Ananthram, Chan, Kevin, Dagefu, Fikadu, Segarra, Santiago
Format: Preprint
Veröffentlicht: 2025
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author Zhao, Zhongyuan
Ming, Yujun
Swami, Ananthram
Chan, Kevin
Dagefu, Fikadu
Segarra, Santiago
author_facet Zhao, Zhongyuan
Ming, Yujun
Swami, Ananthram
Chan, Kevin
Dagefu, Fikadu
Segarra, Santiago
contents Backpressure (BP) routing and scheduling is a well-established resource allocation method for wireless multi-hop networks, known for its fully distributed operations and proven maximum queue stability. Recent advances in shortest path-biased BP routing (SP-BP) mitigate shortcomings such as slow startup and random walk, but exclusive link-level commodity selection still suffers from the last-packet problem and bandwidth underutilization. Moreover, classic BP routing implicitly assumes single-input-single-output (SISO) transceivers, which can lead to the same packets being scheduled on multiple outgoing links for multiple-input-multiple-output (MIMO) transceivers, causing detouring and looping in MIMO networks. In this paper, we revisit the foundational Lyapunov drift theory underlying BP routing and demonstrate that exclusive commodity selection is unnecessary, and instead propose a Max-Utility link-sharing method. Additionally, we generalize MaxWeight scheduling to MIMO networks by introducing attributed capacity hypergraphs (ACH), an extension of traditional conflict graphs for SISO networks, and by incorporating backlog reassignment into scheduling iterations to prevent redundant packet routing. Numerical evaluations show that our approach substantially mitigates the last-packet problem in state-of-the-art (SOTA) SP-BP under lightweight traffic, and slightly expands the network capacity region for heavier traffic.
format Preprint
id arxiv_https___arxiv_org_abs_2504_21721
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces
Zhao, Zhongyuan
Ming, Yujun
Swami, Ananthram
Chan, Kevin
Dagefu, Fikadu
Segarra, Santiago
Networking and Internet Architecture
Systems and Control
Signal Processing
05C12 (Primary) 05-08 (Secondary)
C.2.2; C.2.1; I.2.11; I.2.6
Backpressure (BP) routing and scheduling is a well-established resource allocation method for wireless multi-hop networks, known for its fully distributed operations and proven maximum queue stability. Recent advances in shortest path-biased BP routing (SP-BP) mitigate shortcomings such as slow startup and random walk, but exclusive link-level commodity selection still suffers from the last-packet problem and bandwidth underutilization. Moreover, classic BP routing implicitly assumes single-input-single-output (SISO) transceivers, which can lead to the same packets being scheduled on multiple outgoing links for multiple-input-multiple-output (MIMO) transceivers, causing detouring and looping in MIMO networks. In this paper, we revisit the foundational Lyapunov drift theory underlying BP routing and demonstrate that exclusive commodity selection is unnecessary, and instead propose a Max-Utility link-sharing method. Additionally, we generalize MaxWeight scheduling to MIMO networks by introducing attributed capacity hypergraphs (ACH), an extension of traditional conflict graphs for SISO networks, and by incorporating backlog reassignment into scheduling iterations to prevent redundant packet routing. Numerical evaluations show that our approach substantially mitigates the last-packet problem in state-of-the-art (SOTA) SP-BP under lightweight traffic, and slightly expands the network capacity region for heavier traffic.
title Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces
topic Networking and Internet Architecture
Systems and Control
Signal Processing
05C12 (Primary) 05-08 (Secondary)
C.2.2; C.2.1; I.2.11; I.2.6
url https://arxiv.org/abs/2504.21721