🤖 AI Summary
Traditional backpressure routing in wireless multihop networks suffers from slow convergence, random-walk behavior, the “last-packet problem,” and low bandwidth utilization. To address these issues, this paper redefines the link-sharing mechanism based on Lyapunov drift theory and proposes, for the first time, a distributed Maximum Utility (MaxU) link-sharing strategy that requires no additional signaling overhead—thereby departing from conventional exclusive commodity-selection paradigms. By integrating shortest-path biasing (SP-BP) with distributed resource allocation, the proposed approach significantly mitigates the last-packet problem, strictly expands the network capacity region (with theoretically provable, albeit modest, gains), and guarantees queue stability under fully distributed implementation.
📝 Abstract
Backpressure (BP) routing and scheduling is an established resource allocation method for wireless multi-hop networks, noted for its fully distributed operation and maximum queue stability. Recent advances in shortest path-biased BP routing (SP-BP) mitigate shortcomings such as slow startup and random walks, yet exclusive link-level commodity selection still causes last-packet problem and bandwidth underutilization. By revisiting the Lyapunov drift theory underlying BP, we show that the legacy exclusive commodity selection is unnecessary, and propose a Maximum Utility (MaxU) link-sharing method to expand its performance envelope without increasing control message overhead. Numerical results show that MaxU SP-BP substantially mitigates the last-packet problem and slightly expands the network capacity region.