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Zhuohua Wu

dblp:04/10548 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorComputer networks · 1 · 1 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
1 paper
Wireless networking · 62% Network optimization and economics · 19% Network performance modeling · 19%

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

TopicWeightPapersLastEvidence papers
Wireless networking › random access
random access control
0.212013
Utility-optimal random access control in wireless multi-hop networks with queuing constraints · Sci. China Inf. Sci. 2013
Network performance modeling › queueing analysis
queuing constraints
0.012013
Utility-optimal random access control in wireless multi-hop networks with queuing constraints · Sci. China Inf. Sci. 2013
Network optimization and economics
resource allocation
0.012013
Utility-optimal random access control in wireless multi-hop networks with queuing constraints · Sci. China Inf. Sci. 2013
YearPublicationVenuePosition
2013 A half-duplex transmission scheme for the Gaussian causal cognitive interference channel
abstract
The Causal Cognitive Interference Channel (CCIC) models realistic causal cognitive communication between two sender-and-receiver pairs, in which the cognitive sender causally obtains a message from the primary sender and helps forward it to the primary receiver while also sending its own message to the cognitive receiver. We propose a new coding scheme combining the Han-Kobayashi scheme, partial decode-forward relaying and modified dirty-paper coding (DPC) for the Gaussian CCIC in the half-duplex mode. The proposed scheme induces correlation between the transmit signal and the state to allow traditional DPC as well as state forwarding. An achievable rate region with joint decoding is derived. Numerical results show that the rate region for the proposed scheme is better than the Han-Kobayashi scheme and several other existing schemes. We also analyze the maximum rate for the cognitive user while keeping the primary user's rate as interference-free. Results show that, by decode-and-forward relaying, the cognitive user can achieve significant rates while not affecting the primary user's rate even in the half-duplex causal case.
Zhuohua Wu, Mai Vu
ICC1
2013 Utility-optimal random access control in wireless multi-hop networks with queuing constraints
Yunmeng Tan, Yang Zhao 0008, Shengbin Liao, Zhuohua Wu
Sci. China Inf. Sci.4
2012 Partial decode-forward binning for full-duplex causal cognitive interference channels
abstract
The causal cognitive interference channel (CCIC) is a four-node channel, in which the second sender obtains information from the first sender causally and assists in the transmission of both. We propose a new coding scheme called Han-Kobayashi partial decode-forward binning (HK-PDF-binning), which combines the ideas of Han-Kobayashi coding, partial decode-forward relaying, conditional Gelfand-Pinsker binning and relaxed joint decoding. The second sender decodes a part of the message from the first sender, then uses Gelfand-Pinsker binning to bin against the decoded codeword. When applied to the Gaussian channel, this HK-PDF-binning essentializes to a correlation between the transmit signal and the state, which encompasses the traditional dirty-paper-coding binning as a special case when this correlation factor is zero. The proposed scheme encompasses the Han-Kobayashi rate region and achieves both partial decode-forward relaying rate for the first user and interference-free rate for the second user.
Zhuohua Wu, Mai Vu
ISIT1