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Ching-Chan Wu

dblp:132/8084 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2017
0000-0003-1102-6348ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Wireless networking · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › cognitive radio
channel hopping
0.522017
On Low-Overhead and Stable Data Transmission between Channel-Hopping Cognitive Radios · IEEE Trans. Mob. Comput. 2017
Rendezvous for heterogeneous spectrum-agile devices · INFOCOM 2014
Wireless networking
cognitive radio
0.522017
On Low-Overhead and Stable Data Transmission between Channel-Hopping Cognitive Radios · IEEE Trans. Mob. Comput. 2017
Rendezvous for heterogeneous spectrum-agile devices · INFOCOM 2014
Wireless networking › cognitive radio
rendezvous
0.212014
Rendezvous for heterogeneous spectrum-agile devices · INFOCOM 2014

Methods — techniques the papers use, named apart from their topics

simulation · 0.3randomly-started stability-descent algorithm · 0.3parity alignment · 0.2channel hopping algorithm · 0.2
YearPublicationVenuePosition
2017 On Low-Overhead and Stable Data Transmission between Channel-Hopping Cognitive Radios
abstract
Cognitive radios (CRs) are proposed to alleviate the huge need for radio spectrum. There are two known steps for a pair of CRs to start communication: the rendezvous and data-channel negotiation. Despite that the rendezvous can be achieved by some well-studied techniques such as the channel hopping, the strategies for data-channel negotiation receive much less attention and their impact on data transmission performance remains unclear. In this paper, we study existing data-channel negotiation schemes for channel-hopping CRs and observe that 1) for short data transmission, they incur a huge overhead, called notification delay, that severely limits the throughput; and 2) for long data transmission, they lead to large overhead, called interruption delay, in handling the PU interruption, which makes performance unstable. By carefully re-examining the steps toward low-overhead and stable data transmission, we argue that a key step, called self-channel selection, is missing and should precede the rendezvous and data channel selection steps. In this step, each CR selects, in a distributed manner, only a small amount of the most stable channels to be used in the later steps. To realize the self-channel selection, we introduce a Randomly-Started Stability-Descent (RSSD) selection algorithm. Expensive simulations are conducted and the results demonstrate the effectiveness of RSSD in reducing 1) the notification delay; 2) the chance of PU interruption; and 3) the interruption delay if PU interruption occurs, which overall improve the performance and quality of data transmission.
Ching-Chan Wu, Shan-Hung Wu, Wen-Tsuen Chen
IEEE Trans. Mob. Comput.1
2014 Rendezvous for heterogeneous spectrum-agile devices
abstract
Cognitive radio (CR) is intended to meet the exponentially growing demand for spectrum by allowing for opportunistic utilization of idle legacy channels. Rendezvous, where two radios complete handshaking in an idle channel, is a key step for “stranger” (unknown to each other) CRs to start communication. However, none of existing algorithms guarantee rendezvous for heterogeneous or stranger CRs with different spectrum-sensing capabilities, in spite of the fact that (i) a wide variety of mobile devices are equipped with heterogeneous radios and (ii) there are numerous applications requiring efficient rendezvous for heterogeneous radios/CRs. In this paper, we propose a new channel hopping algorithm, called Heterogeneous Hopping (HH), that guarantees rendezvous without assuming existence of a universal channel set that can be sensed by all radios. HH is realized with a two-layer design that harmonizes the fixed-short-cycle and parity-alignment techniques we propose here, in order to guide CRs to rendezvous in two complementary situations resulting from the different capabilities of mobile wireless devices. To best of our knowledge, HH is the first channel-hopping scheme that guarantees rendezvous between heterogeneous radios. Our in-depth evaluation has shown HH to be significantly faster than simple extensions of existing schemes. Moreover, the latter cannot guarantee successful rendezvous, either.
Shan-Hung Wu, Ching-Chan Wu, Wing-Kai Hon, Kang G. Shin
INFOCOM2
2013 On bridging the gap between homogeneous and heterogeneous rendezvous schemes for cognitive radios
abstract
Cognitive radio allows radio devices to access the idle spectrum opportunistically, thus alleviates the huge demand for spectrum. Rendezvous, where two radios complete handshaking in an idle channel, is a key step for cognitive radios to start communication. Radios may have the same (homogeneous) or different (heterogeneous) spectrum sensing capabilities. Currently, there is a "gap" between the rendezvous algorithms for homogeneous and heterogeneous cognitive radios---existing homogeneous algorithms incur high delay when applied to heterogeneous radios; while heterogeneous algorithms incur high congestion when applied to homogeneous radios. Since mixtures of these two types of radios appear commonly in practice, it is crucial to bridge the gap between the respective rendezvous algorithms. In this paper, we propose a new rendezvous algorithm, named the ICH scheme, for arbitrary mixtures of radios with homogeneous or heterogeneous spectrum sensing capabilities. Rigorous analysis and extensive simulations are conducted and show that ICH is the first rendezvous scheme that guarantees rendezvous for arbitrary mixtures of homogeneous and heterogeneous radios without incurring large delay and congestion.
Ching-Chan Wu, Shan-Hung Wu
MobiHoc1