Distributed Opportunistic Scheduling With Two-Level Probing
Chandrashekhar Thejaswi P. S., Junshan Zhang, Man-On Pun, H. Vincent, Poor, Dong Zheng

TL;DR
This paper investigates a two-level channel probing strategy in distributed opportunistic scheduling for wireless ad-hoc networks, optimizing the tradeoff between improved rate estimation accuracy and additional probing delay.
Contribution
It introduces a threshold-based optimal scheduling policy with one or two thresholds, providing necessary and sufficient conditions for their application.
Findings
Performing second-level probing is optimal within certain channel conditions.
The optimal policy is threshold-based, depending on network parameters.
Numerical results confirm the effectiveness of the proposed approach.
Abstract
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simply put, DOS involves a process of joint channel probing and distributed scheduling for ad-hoc (peer-to-peer) communications. Since, in practice, link conditions are estimated with noisy observations, the transmission rate has to be backed off from the estimated rate to avoid transmission outages. Then, a natural question to ask is whether it is worthwhile for the link with successful contention to perform further channel probing to mitigate estimation errors, at the cost of additional probing. Thus motivated, this work investigates DOS with two-level channel probing by optimizing the tradeoff between the throughput gain from more accurate rate estimation and the resulting additional delay. Capitalizing on…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Advanced MIMO Systems Optimization · Wireless Networks and Protocols
