Di Yuan
Uppsala University
269 Papers
2.2K Citations
Di Yuan is an academic researcher from Uppsala University. The author has contributed to research in topics: Wireless network & Scheduling (computing). The author has an hindex of 37, co-authored 268 publications. Previous affiliations of Di Yuan include University of Maryland, College Park & Linköping University.
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Papers
Compact Integer Programming Models for Optimal Tress in Wireless Networks
Dag Haugland,Di Yuan +1 more
- 01 Jan 2011
TL;DR: This book surveys state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs) and the services they deliver, and the techniques playing particularly important and distinctive roles in the wireless domain.
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Routing and scheduling of network flows with deadlines and discrete capacity allocation
TL;DR: This paper addresses a flow routing and scheduling problem with delivery deadline, where the assignment of link capacity occurs in discrete units, and proposes a simple and fast max‐flow‐based algorithm based on a time slicing approach.
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Optical Interconnect Architectures for Datacenters
Pawel Wiatr,Di Yuan,Lena Wosinska,Jiajia Chen +3 more
- 01 Sep 2018
TL;DR: Some existing optical intra-datacenter network architectures will be presented along with new ideas allowing for reduction of energy consumption and required spectrum resources.
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Modeling and Analysis of MPTCP Proxy-Based LTE-WLAN Path Aggregation
Bolin Chen,Zheng Chen,Nikolaos Pappas,Di Yuan,Jie Zhang +4 more
- 01 Dec 2017
TL;DR: In this article, a simple yet practical model is proposed to determine under which conditions a native WLAN Access Point (AP) will work under LWPA mode to help increase the received data rate.
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Design of in-building distributed antenna systems: Mathematical models and efficient algorithms
TL;DR: An optimal design of passive IB-DAS with the target to minimize the cable usage is considered, together with the consideration of power distribution and mixed integer linear models are developed for solving the sub-problems.
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