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Candy Yiu

Researcher at Intel

Publications -  38
Citations -  338

Candy Yiu is an academic researcher from Intel. The author has contributed to research in topics: User equipment & Node (networking). The author has an hindex of 11, co-authored 38 publications receiving 337 citations. Previous affiliations of Candy Yiu include Portland State University & Apple Inc..

Papers
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Empirical capacity of mmWave WLANS

TL;DR: This paper studies the achievable aggregate capacity in a room when using two types of smart antenna arrays - linear and circular, and shows that with just 400 MHz of the spectrum, aggregate data rates of 9 Gbps (4.5 Gbps) can be achieved with linear (circular) arrays.
Patent

Mobile communication in macro-cell assisted small cell networks

TL;DR: In this paper, the UE is provided with dedicated assistance information from the evolved node B (eNB) or macro network device, which enables the UE to measure data from the candidate small cells within a heterogeneous network environment and connect directly to the selected small cell for an access or handover operation.
Patent

Eps bearer splitting for dual connectivity devices

TL;DR: In this paper, the authors propose a split bearer protocol, which allows the UE to implement reduced protocol layers and reconfigure the protocol layers to match the bearer path selected by the eNB.
Patent

Base station and method for early handover using uplink channel characteristics

TL;DR: In this article, a handover decision is based on a signal level of unlink transmissions of user equipment (UE) measured at a target cell base station in addition to signal levels of downlink signals of the target cell BS and downlink signal of a serving cell BS measured at the UE.
Patent

Use of an oma management object to support application-specific congestion control in mobile networks

TL;DR: In this paper, a novel type of OMA MO for application specific access control (ASAC) can include internet protocol (IP) flow descriptions that can be used to characterize applications with fine granularity.