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Xiaojun Lin
Researcher at Purdue University
Publications - 168
Citations - 7370
Xiaojun Lin is an academic researcher from Purdue University. The author has contributed to research in topics: Scheduling (computing) & Wireless network. The author has an hindex of 39, co-authored 156 publications receiving 6842 citations. Previous affiliations of Xiaojun Lin include Duke University & Princeton University.
Papers
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Journal ArticleDOI
A tutorial on cross-layer optimization in wireless networks
TL;DR: It is shown that a clean-slate optimization-based approach to the multihop resource allocation problem naturally results in a "loosely coupled" cross-layer solution, and how to use imperfect scheduling in the cross- layer framework is demonstrated.
Proceedings ArticleDOI
The impact of imperfect scheduling on cross-layer rate control in wireless networks
Xiaojun Lin,Ness B. Shroff +1 more
TL;DR: This paper studies how the performance of cross-layer rate control can be impacted if the network can only use an imperfect scheduling component that is easier to implement, and designs a fully distributed cross-layered rate control and scheduling algorithm for a restrictive interference model.
Proceedings ArticleDOI
Joint rate control and scheduling in multihop wireless networks
Xiaojun Lin,Ness B. Shroff +1 more
TL;DR: This work proposes a dual optimization based approach through which the rate control problem and the scheduling problem can be decomposed and demonstrates via both analytical and numerical results that the proposed mechanism can fully utilize the capacity of the network, maintain fairness, and improve the quality of service to the users.
Journal ArticleDOI
The impact of imperfect scheduling on cross-layer congestion control in wireless networks
Xiaojun Lin,Ness B. Shroff +1 more
TL;DR: This paper studies both the case when the number of users in the system is fixed and the case with dynamic arrivals and departures of the users, and establishes performance bounds of cross-layer congestion control with imperfect scheduling.
Journal ArticleDOI
Utility maximization for communication networks with multipath routing
Xiaojun Lin,Ness B. Shroff +1 more
TL;DR: This paper develops a distributed solution to multi-path utility maximization problems for communication networks where each user (or class) can have multiple alternative paths through the network that is amenable to online implementation.