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Jia Xing

dblp:121/6307 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · conflict

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

Computer networks · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1

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
Physical-layer communications · 62% Cellular and mobile networks · 19% Wireless networking · 19%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
channel coding and estimation
0.212015
Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels · IEEE J. Sel. Areas Commun. 2015
Physical-layer communications › cooperative communication › relay networks
cognitive relay network
0.212015
Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels · IEEE J. Sel. Areas Commun. 2015
Physical-layer communications
fading channels
0.212015
Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels · IEEE J. Sel. Areas Commun. 2015
Cellular and mobile networks
radio access networks
0.212015
Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels · IEEE J. Sel. Areas Commun. 2015
Wireless networking
relay selection
0.212015
Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels · IEEE J. Sel. Areas Commun. 2015
Physical-layer communications
outage probability
0.112015
Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels · IEEE J. Sel. Areas Commun. 2015

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

monte carlo simulation · 0.2asymptotic analysis · 0.2
YearPublicationVenuePosition
2017 Efficient alarm behavior analytics for telecom networks
Caifeng He, Guangjian Tian, Ivy Bo Peng, Jia Xing, Xiangbing Ruan, Haoran Xie 0001, Fu Lee Wang
Inf. Sci.6
2015 Performance Analysis of Cognitive Relay Networks Over Nakagami-m Fading Channels
abstract
In this paper, we present performance analysis for underlay cognitive decode-and-forward relay networks with the Nth best relay selection scheme over Nakagami-m fading channels. Both the maximum tolerated interference power constraint and the maximum transmit power limit are considered. Specifically, exact and asymptotic closed-form expressions are derived for the outage probability of the secondary system with the Nth best relay selection scheme. The selection probability of the Nth best relay under limited feedback is discussed. In addition, we also obtain the closed-form expression for the ergodic capacity of the secondary system with a single relay. These expressions facilitate in effectively evaluating the network performance in key operation parameters and in optimizing system parameters. The theoretical derivations are extensively validated through Monte Carlo simulations. Both theoretical and simulation results show that the fading severity of the secondary transmission links has more impact on the outage performance and the capacity than that of the interference links does. Through asymptotic analysis, we show that the diversity order for the Nth best relay selection scheme is min(m1, m3) × (M - N) + m3, where M denotes the number of cognitive relays, and m1and m3represent the fading severity parameters of the first-hop transmission link and the second-hop transmission link, respectively.
Xing Zhang 0001, Yan Zhang 0002, Zhi Yan 0002, Jia Xing, Wenbo Wang 0007
IEEE J. Sel. Areas Commun.4
2014 Performance analysis of cognitive relay networks with imperfect channel knowledge over Nakagami-m fading channels
abstract
In underlay cognitive radio networks, imperfect channel knowledge will have an adverse effect on the performance of both the primary users (PU) and the secondary users (SU) owing to the interference power constraint of PU. This paper investigates the performance of a cognitive relay network (CRN) with imperfect channel state information (CSI) of the interference links over Nakagami-m fading channels. Interference probability is defined to characterize the interference caused by SU to PU due to CSI imperfection. Closed-form expressions for both the interference probability of the primary user and the outage probability of the secondary system are derived and validated by simulations. It is proved that the interference probability of the primary user is always 0.5 under the condition of imperfect CSI when no power control mechanism is adopted. The effects of CSI imperfection, channel fading severity, interference probability of PU and transmit power of PU on the outage performance of the secondary system are also analyzed.
Jia Xing, Xing Zhang 0001, Jiewu Wang, Wenbo Wang 0007
WCNC1