326 Papers
939 Citations
Qianbin Chen is an academic researcher from Chongqing University of Posts and Telecommunications. The author has contributed to research in topics: Computer science & Resource allocation. The author has an hindex of 19, co-authored 287 publications. Previous affiliations of Qianbin Chen include University of Electronic Science and Technology of China & Electric Power Research Institute.
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Papers
Ultrafast optical header processing with DPSK for asynchronous optical packet switch
TL;DR: The low speed header has the low latency time decreases (latency time less than 100μs) and overcomes the drawbacks of time bandwidth limitation associated with dispersion in long lengths of fiber and the system is highly scalable, lower power consumption and photonic integration.
The QoS-aware head-drop mechanism for contentions resolution in optical burst switching networks
TL;DR: The proposed QoS-aware head-drop scheme can selectively discard the head part of contending burst or the entire burst according to the priority and the truncated burst relative length, i.e., the ratio to the original burst length.
Contact Graph Routing with Network Coding for LEO Satellite DTN Communications
Cui-Qin Dai,Qingyang Song,Lei Guo,Qianbin Chen +3 more
- 24 Aug 2016
TL;DR: This paper proposes an improved Contact Graph Routing (CGR) scheme by introducing the Destination based Network Coding (DNC), namely DNC-CGR, to improve the network throughput and reduce the number of messages in the Inter-Satellite Links (ISLs).
A Novel Method of Feedback Reducing and Cross-layer Scheduling Based on Traffic Rates for Relay System
TL;DR: A dynamic threshold feedback mechanism (DTFM) based on traffic rates is proposed, of which the user with channel gain being larger than the dynamic threshold is only allowed to send its channel state information, thereby reducing the number of required feedback users and the computational burden of exhaustive search for best users at the BS.
Reduction of Feedback Based-on User Traffic Rate in OFDM Relay System
TL;DR: Simulation results show that the proposed feedback mechanism can bring more feedback sub-carriers to the user with high traffic rate, which can support different traffic rate.