E
Eng Hwee Ong
Researcher at Nokia
Publications - 44
Citations - 969
Eng Hwee Ong is an academic researcher from Nokia. The author has contributed to research in topics: Wireless network & Quality of service. The author has an hindex of 17, co-authored 44 publications receiving 953 citations. Previous affiliations of Eng Hwee Ong include University of Newcastle & Newcastle University.
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Patent
Channel reservation in wireless network
TL;DR: In this paper, the authors present a channel reservation procedure in a wireless communication system, in which a communication apparatus initiates a reservation procedure and uses the reserved at least one secondary channel in wireless communication in the communication direction specified in the reservation request message.
Patent
Method and apparatus for network traffic offloading
Zexian Li,Eng Hwee Ong +1 more
TL;DR: In this paper, a method, apparatus and computer program product are provided for managing network traffic offloading, which includes determining, based at least in part on a QoS mapping scheme, whether a data flow should be offloaded from a first access point to a second access point.
Patent
Transmit Power Control in Multi-Radio Apparatus
TL;DR: In this article, a method, apparatus, and computer program for controlling transmission power of a radio apparatus is presented, which includes determining the maximum total transmit power of the radio apparatus and determining a remaining transmission power margin by computing a difference between the maximum transmit power and the first transmit power level.
Patent
Idle mode access through assisted discovery
TL;DR: In this paper, the authors present a method of cell selection/reselection using discovery information of a secondary radio access technology (RAT) by listening to a single primary RAT.
Journal ArticleDOI
Radio Resource Management of Composite Wireless Networks: Predictive and Reactive Approaches
TL;DR: Comprehensive performance analysis between these three RRM techniques shows that the IEEE 1900.4-based RQB algorithm yields the best improvement in QoS fairness and aggregate end-user throughput while preserving an attractive baseline QoS property.