Chonggang Wang

Northeastern University

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Anil Roy

École Polytechnique Fédérale de Lausanne

Krikor Ozanyan

University of Manchester

Fabrice Labeau

McGill University

Andrei M. Shkel

University of California, Irvine

Hongbo Jiang

Hunan University

Mugen Peng

Beijing University of Posts and Telecommunications

K. Sohraby

Utah Valley University

Honggang Wang

Huaian First People’s Hospital

Ravinder Dahiya

Northeastern University

Michael J. McShane

Texas A&M University

Cooperative Institutions

Spectrum Research (United States)

191

Institute of Electrical and Electronics Engineers

185

Canadian Standards Association

171

Huazhong University of Science and Technology

Beijing University of Posts and Telecommunications

University of South Carolina

Artistic Realization Technologies

Carnegie Mellon University

BioMimetic Systems (United States)

Pennsylvania State University

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IEEE Spectrum (2019)

Susan Hassler Harry Goldstein Elizabeth Bretz Mark Montgomery Stephen Cass

10.1109/mspec.2019.8701140

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West campus network application authentication system of thinking

Journal of the Qiannan Normal College for Nationalities (2010)

Chonggang Wang

As an important part of Internet,College Internet play an important role.There is a security increasing problem that many users Are in lack of the sense of safety,and weaker to protect the ability.Facing the serious increasing problem,we must own the system of initiative protection,and try our best to regularize the College Internet work as normally as possible.

Source

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Design and analysis of a rate-based algorithm for active queue management

Chonggang Wang Bo Li Y. Thomas Hou K. Sohraby Weiwen Tang

This paper proposes a rate-based active queue management algorithm or RAQM. It uses the aggregated traffic input rate to calculate packet drop probability according to an exponential rule. We analyze the stability and investigate practical implementation issues of the RAQM. Simulations are carried out to study RAQM performance and to compare with other AQM algorithms, in particular PI and REM schemes. The results demonstrate that RAQM achieves better stability and faster response as it can quickly regulate the queue length to the expected value with small overshoot. RAQM also obtains better tradeoff between link utilization and queuing delay, and obtains higher goodput with the same buffer size as in PI and REM schemes. Finally RAQM has O(1) complexity, thus is independent of the number of flows.

Goodput

Overshoot (microwave communication)

Queuing delay

10.1109/lcn.2004.41

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Citations (4)

SINUS: A scalable and distributed routing algorithm with guaranteed delivery for WSNs on high genus 3D surfaces

Tianlong Yu Hongbo Jiang Guang Tan Chonggang Wang Chen Tian

In this paper, we put forward a novel scalable and distributed routing algorithm, called SINUS, for sensor networks deployed on the surface of complex-connected 3D settings such as tunnels, whose topologies are often theoretically modeled as high genus 3D surfaces. SINUS is carried out by first slicing the genus-n surface along a maximum cut set based on Morse theory and Reeb graph, in order to form a genus-0 surface with 2n boundaries. Then, it groups these 2n boundaries into two groups each of which is next connected together. By doing so, a genus-0 surface with exactly two boundaries emerges, which can be flattened into a strip, using the Ricci flow algorithm and next mapped to a planar annulus by Möbius Transform. By assigning nodes virtual coordinates on the planar annulus, SINUS finally realizes a variation of greedy routing to enable individual nodes to make local muting decisions. Our simulation results show that SINUS can achieve low-stretch routing with guaranteed delivery, as well as balanced traffic load.

Annulus (botany)

10.1109/infcom.2013.6567020

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Citations (8)

Heterogeneous Cloud Radio Access Networks: A New Perspective for Enhancing Spectral and Energy Efficiencies

arXiv (Cornell University) (2014)

Mugen Peng Yuan Li Jiamo Jiang Jian Li Chonggang Wang

To mitigate the severe inter-tier interference and enhance limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations in heterogeneous networks (HetNets), heterogeneous cloud radio access networks (H-CRANs) are proposed as cost-efficient potential solutions through incorporating the cloud computing into HetNets. In this article, state-of-the-art research achievements and challenges on H-CRANs are surveyed. In particular, we discuss issues of system architectures, spectral and energy efficiency performances, and promising key techniques. A great emphasis is given towards promising key techniques in H-CRANs to improve both spectral and energy efficiencies, including cloud computing based coordinated multi-point transmission and reception, large-scale cooperative multiple antenna, cloud computing based cooperative radio resource management, and cloud computing based self-organizing network in the cloud converging scenarios. The major challenges and open issues in terms of theoretical performance with stochastic geometry, fronthaul constrained resource allocation, and standard development that may block the promotion of H-CRANs are discussed as well.

10.48550/arxiv.1410.3028

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IEEE Sensors Council

IEEE Sensors Journal (2024)

Anil Roy Andrei M. Shkel Srinivas Tadigadapa Sandro Carrara Chonggang Wang

10.1109/jsen.2024.3377517

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Contributors

IEEE Spectrum (2020)

Yuksel Temiz Temiz Michelle A. Rafter Jey Han Lau Lau Timothy Baldwin

is a research staff member at IBM Research-Europe, based in Zurich.When he's not developing microfluidic chips and IoT devices for point-of-care diagnostics applications, he makes his own lab gadgets.In this issue [p.16], he describes how he built an open-source microscope out of Lego bricks and microcontrollers."I'd love to get this into schools as well as developing nations, because it's so much cheaper than similar off-the-shelf microscopes," Temiz says.

10.1109/mspec.2020.9078398

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IEEE Spectrum (2020)

Dennis P. Wall Ramona Foster Evan Ackerman Mark Anderson Robert Charette

When Wall met Catalin Voss and Nick Haber in 2013, it felt like a "serendipitous alignment of the stars," Wall says.He was investigating new therapies for autism, Voss was experimenting with the Google Glass wearable, and Haber was working on machine learning and computer vision.Together, the three embarked on the Superpower Glass project, which they write about in this issue [p.46], to encourage autistic kids to interact socially and help them recognize emotions.

10.1109/mspec.2020.9055896

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Throughput Optimizing for Power-Splitting Based Relaying in Wireless-Powered Cooperative Networks

2015 IEEE Global Communications Conference (GLOBECOM) (2014)

Zheng Zhou Mugen Peng Zhongyuan Zhao Chonggang Wang Rick S. Blum

To realize an efficient utilization of harvested energy and improve throughput with the help of a battery, a harvest-use-store power splitting (PS) relaying strategy with distributed beamforming is proposed for the wireless-powered multi-relay scenario in this paper. To this end, harvested energy via PS can be accumulated and stored for future usage, which affects throughput at subsequent time slots due to the battery operations including the charging and discharging. As a result, PS and battery operations are coupled with distributed beamforming, such that the throughput optimization problem is intractable looking. To address the intractability of the optimization, a layered optimization method with an ideal non-causal channel state information (CSI) assumption is proposed. As a result, the optimal joint PS and battery operation design in the proposed strategy is derived in a decoupled manner. Simulation results confirm the accuracy of the proposed method, and revealed that the proposed strategy has significant performance gains over the conventional designs.

Channel state information

10.1109/glocom.2014.7417636

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Interference Coordination in Heterogeneous Small-Cell Networks: A Coalition Formation Game Approach

IEEE Systems Journal (2015)

Manzoor Ahmed Mugen Peng Munzali Ahmed Abana Shi Yan Chonggang Wang

Heterogeneous small-cell networks have been identified as key technological components in accomplishing objectives of the fifth generation wireless communication system, in which the key point is the hyper dense deployment of small-cells. However, the interference among dense small-cells exacerbates in hyper dense deployment coupled with incessant use of multimedia services. In this paper, a network-side self-organized coalition formation approach for intra-tier interference mitigation primarily through neighborhood cooperation is proposed. By forming disjoint coalitions, small-cell access points (SAPs) are able to mitigate the interference within a coalition and thus improve their achievable data rates. The cooperative behavior among the neighborhood SAPs is formulated as a coalition formation game in partition form with non-transferable utility. Instead of fully reversible and irreversible methods used in prior studies, a merge and split based algorithm with partial reversibility rule which can obtain a final stable partition in the recursive core is proposed. The proposed algorithm converges to a final stable partition in a finite number of steps and works efficiently for both co-channel and orthogonal radio resource allocation modes. Simulation results have verified that the proposed algorithm can significantly improve the individual SAP throughput for both modes when compared with the conventional and the non-cooperative schemes.

Disjoint sets

Network partition

Small cell

10.1109/jsyst.2015.2487604

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Citations (27)