William Liu - IEEE Xplore Author Profile

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Author details

William Liu

Also published under: W. Liu

Publications

60

Citations

827

Publications by Year

20082022

Co-Authors:

David AirehrourAdnan Al-AnbukyFadi AlhaddadinMohamed-Slim AlouiniLavinia Amorosi

Show All Co-Authors (98)

William Liu

Also published under: W. Liu

Affiliation

School of Engineering

Computer and Mathematical Sciences

Auckland University of Technology, New Zealand

Publication Topics

Base Station,
Coverage Area,
Mobile Edge Computing,
Neural Network,
Unmanned Aerial Vehicles,
2D Plane,
3D Space,
Annotated Corpus,
Application Requirements,
Autonomous Vehicles,
Bandwidth Values,
Battery Level

Biography

William Liu received his Master's (with distinction) and Ph.D. in electrical and computer engineering from the University of Canterbury, Christchurch, New Zealand, in 2005 and 2010, respectively. He is currently a senior lecturer at the Department of Information Technology and Software Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology. In general, his research interests are in the design and performance evaluation of packet-oriented networks. He is working especially in the areas of network survivability, sustainability, and trustworthy computing.(Based on document published on 25 October 2017).

Publications

60

Citations

827

Publications by Year

20082022

Co-Authors:

David Airehrour
Adnan Al-Anbuky
Fadi Alhaddadin
Mohamed-Slim Alouini
Lavinia Amorosi

Show All Co-Authors (98)

Author's Published Works

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Showing 1-25 of 211 results

Conferences (144)

Journals (61)

Magazines (6)

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Elaine Wong(170)
Ampalavanapillai Nirmalathas(74)
Christina Lim(51)
E. Wong(41)
Lihua Ruan(34)
The University of Melbourne, Melbourne, VIC, AU(17)
Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia(13)
Department of Electrical and Electronic Engineering, The University of Melbourne, Australia(12)
Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia(11)
Department of Electrical and Electronic Engineering, University of Melbourne, Australia(11)
Journal of Lightwave Technology(19)
Journal of Optical Communications and Networking(13)
IEEE Photonics Technology Letters(10)
2012 Asia Communications and Photonics Conference (ACP)(4)
2014 OptoElectronics and Communication Conference and Australian Conference on Optical Fibre Technology(4)
IEEE(211)
San Diego, CA, USA(12)
Singapore(9)
Jeju, Korea (South)(8)
Los Angeles, CA, USA(6)
Melbourne, VIC, Australia(6)
Optical Networks(79)
Access Network(49)
Bandwidth Allocation(43)
Optical Power(38)
Wavelength Division Multiplexing(35)

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Introduction to the GLOBECOM 2023 Optical Networks and Systems Symposium Special Issue

Nicola Andriolli;Jerzy Domzal;Elaine Wong

Journal of Optical Communications and Networking

Year: 2024 | Volume: 16, Issue: 9 | Journal Article |

This Special Issue contains a collection of invitation-only extensions based on papers presented at the Optical Networks and Systems Symposium at IEEE GLOBECOM held 4–8 December 2023 in Kuala Lumpur, Malaysia. We present a brief introduction followed by an overview of each of the papers.Show More

Introduction to the GLOBECOM 2023 Optical Networks and Systems Symposium Special Issue

Nicola Andriolli;Jerzy Domzal;Elaine Wong

Journal of Optical Communications and Networking

Year: 2024 | Volume: 16, Issue: 9 | Journal Article |

Reinforcement Learning-Based Bandwidth Decision in Optical Access Networks: A Study of Exploration Strategy and Time With Confidence Guarantee

Lihua Ruan;Elaine Wong;Hongyi Zhu

IEEE Transactions on Communications

Year: 2024 | Volume: 72, Issue: 11 | Journal Article |

Cited by: Papers (1)

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Reinforcement learning (RL) has recently emerged as a promising solution for intelligence bandwidth decisions that reduce latency in optical access networks. Even though RL drives model-free self-adaptive bandwidth decisions, the learning time cost and the widely-known exploration-exploitation dilemma of when to apply the best decision learnt are challenging to address in the bandwidth decision co...Show More

Reinforcement Learning-Based Bandwidth Decision in Optical Access Networks: A Study of Exploration Strategy and Time With Confidence Guarantee

Lihua Ruan;Elaine Wong;Hongyi Zhu

IEEE Transactions on Communications

Year: 2024 | Volume: 72, Issue: 11 | Journal Article |

Self-Adaptive Bandwidth Allocation to Address Dynamic Traffic Concept Drift in Optical Access Networks

Lihua Ruan;Elaine Wong

2023 21st International Conference on Optical Communications and Networks (ICOCN)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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In this invited talk, we will review our recent work on online reinforcement learning-based dynamic bandwidth allocation (ORL-DBA) scheme that addresses concept drift in ML-enhanced optical access networks for supporting low-latency applications against network traffic dynamicity. The scheme improves bandwidth decisions via exploration or exploits existing decision knowledge to keep a low latency,...Show More

Self-Adaptive Bandwidth Allocation to Address Dynamic Traffic Concept Drift in Optical Access Networks

Lihua Ruan;Elaine Wong

2023 21st International Conference on Optical Communications and Networks (ICOCN)

Year: 2023 | Conference Paper |

Addressing Concept Drift of Dynamic Traffic Environments through Rapid and Self-Adaptive Bandwidth Allocation

Lihua Ruan;Elaine Wong

2023 32nd International Conference on Computer Communications and Networks (ICCCN)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Passive optical networks are envisioned to become increasingly complex as they support more and more diverse and immersive services that have different capacity, latency, and reliability needs. In the near term, they are expected to support the delivery of a diverse and immersive set of services including mixed reality, holographic communication, human-to-machine/robot communications, Tactile Inte...Show More

Addressing Concept Drift of Dynamic Traffic Environments through Rapid and Self-Adaptive Bandwidth Allocation

Lihua Ruan;Elaine Wong

2023 32nd International Conference on Computer Communications and Networks (ICCCN)

Year: 2023 | Conference Paper |

A Transfer Learning Assisted Framework to Expedite and Self-Adapt Bandwidth Allocations in Low-Latency H2M Applications

Lihua Ruan;Elaine Wong

IEEE Communications Magazine

Year: 2023 | Volume: 61, Issue: 8 | Magazine Article |

Cited by: Papers (1)

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In view of the aspirations of 6G, networks will soon be expected to support the delivery of tactile-haptic and kinetic perceptions so that humans can interact with real/virtual environments through machines/robots. This requires lowering the end-to-end network latency to sub-milliseconds, thus driving technology advancements at network edge, encompassing access and enterprise networks. This articl...Show More

A Transfer Learning Assisted Framework to Expedite and Self-Adapt Bandwidth Allocations in Low-Latency H2M Applications

Lihua Ruan;Elaine Wong

IEEE Communications Magazine

Year: 2023 | Volume: 61, Issue: 8 | Magazine Article |

Towards 6G: fast and self-adaptive dynamic bandwidth allocation for next-generation mobile fronthaul [Invited]

Elaine Wong;Lihua Ruan

Journal of Optical Communications and Networking

Year: 2023 | Volume: 15, Issue: 8 | Journal Article |

Cited by: Papers (8)

6G networks will deliver dynamic and immersive applications that bridge the real and digital worlds. The next-generation passive optical access network is a potential optical transport solution for the fronthaul of open radio access networks. With this solution, uplink bandwidth is shared, and uplink latency performance is thus highly dependent on how bandwidth is allocated. Compounding this issue...Show More

Towards 6G: fast and self-adaptive dynamic bandwidth allocation for next-generation mobile fronthaul [Invited]

Elaine Wong;Lihua Ruan

Journal of Optical Communications and Networking

Year: 2023 | Volume: 15, Issue: 8 | Journal Article |

Machine learning enhanced next-generation optical access networks—challenges and emerging solutions [Invited Tutorial]

Elaine Wong;Sourav Mondal;Lihua Ruan

Journal of Optical Communications and Networking

Year: 2023 | Volume: 15, Issue: 2 | Journal Article |

Cited by: Papers (9)

Optical access networks are envisioned to become increasingly complex as they support more and more diverse and immersive services, each with a different capacity, latency, and reliability need. While machine learning has been touted as a silver bullet that will intelligently manage network operations and resources to meet these demands, as it had been anticipated for core and metro networks, ther...Show More

Machine learning enhanced next-generation optical access networks—challenges and emerging solutions [Invited Tutorial]

Elaine Wong;Sourav Mondal;Lihua Ruan

Journal of Optical Communications and Networking

Year: 2023 | Volume: 15, Issue: 2 | Journal Article |

Evolution of Short-Range Optical Wireless Communications

Ke Wang;Tingting Song;Yitong Wang;Chengwei Fang;Jiayuan He;Ampalavanapillai Nirmalathas;Christina Lim;Elaine Wong;Sithamparanathan Kandeepan

Journal of Lightwave Technology

Year: 2023 | Volume: 41, Issue: 4 | Journal Article |

Cited by: Papers (40)

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The optical wireless communication (OWC) technology explores the broad unregulated optical spectrum to provide high-speed wireless communications, and the visible, ultraviolet and near-infrared wavelength ranges all have been investigated. Compared with the conventional radio frequency (RF) band, the spectrum in OWC systems is much less congested and the interference is much lower. The OWC technol...Show More

Evolution of Short-Range Optical Wireless Communications

Ke Wang;Tingting Song;Yitong Wang;Chengwei Fang;Jiayuan He;Ampalavanapillai Nirmalathas;Christina Lim;Elaine Wong;Sithamparanathan Kandeepan

Journal of Lightwave Technology

Year: 2023 | Volume: 41, Issue: 4 | Journal Article |

Towards 6G: Machine Learning Driven Resource Allocation in Next Generation Optical Access Networks (Invited)

Elaine Wong;Lihua Ruan

2022 European Conference on Optical Communication (ECOC)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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6G networks will deliver immersive applications that bridge real and digital worlds. The next-generation optical access network is a potential optical transport solution. In view of dynamic network conditions, we propose a machine learning driven solution that rapidly self-adapts to support new 6G applications.Show More

Towards 6G: Machine Learning Driven Resource Allocation in Next Generation Optical Access Networks (Invited)

Elaine Wong;Lihua Ruan

2022 European Conference on Optical Communication (ECOC)

Year: 2022 | Conference Paper |

Towards 6G: The Evolution of Passive Optical Networks

2022 IEEE Photonics Conference (IPC)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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Next-generation PONs are being considered as an optical transport solution for 6G mobile networks. Nonetheless, to support a heterogeneity of immersive services, challenges in meeting differing quality-of-service requirements in a dynamic network, must be addressed. These will be discussed following an overview of PON technology evolution.Show More

Towards 6G: The Evolution of Passive Optical Networks

2022 IEEE Photonics Conference (IPC)

Year: 2022 | Conference Paper |

A Techno-Economic Study of Industry 5.0 Enterprise Deployments for Human-to-Machine Communications

Igor Kardush;Sejeong Kim;Elaine Wong

IEEE Communications Magazine

Year: 2022 | Volume: 60, Issue: 12 | Magazine Article |

Cited by: Papers (9)

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Ongoing disruptions from the persistence of COVID–19 are providing a strong impetus for deploying Industry 5.0. With a focus on the collaboration between geographically separated humans and machines, Industry 5.0 is envisioned to boost productivity and efficiency on the factory floor and engage with customers from afar. Collaborative robots (cobots) will be extensions of the human body through bei...Show More

A Techno-Economic Study of Industry 5.0 Enterprise Deployments for Human-to-Machine Communications

Igor Kardush;Sejeong Kim;Elaine Wong

IEEE Communications Magazine

Year: 2022 | Volume: 60, Issue: 12 | Magazine Article |

Global-Local AI Coordinated Learning over Optical Access Networks for Scalable H2M/R Collaborations

Sourav Mondal;Elaine Wong

Year: 2022 | Volume: 36, Issue: 2 | Magazine Article |

Cited by: Papers (6)

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While pre-fifth and fifth generation networks have been designed mainly to support machine-to-machine and human-to-human communications via data, audio, and video communications, a major thrust of beyond fifth generation Networks is the abutment of human-to-machine/robot (H2M/R) collaboration. Such collaborations are deeply anchored in the vision of Society 5.0, which promotes a human-centered soc...Show More

Global-Local AI Coordinated Learning over Optical Access Networks for Scalable H2M/R Collaborations

Sourav Mondal;Elaine Wong

Year: 2022 | Volume: 36, Issue: 2 | Magazine Article |

Evolution of Short-Range Optical Wireless Communications

Ke Wang;Tingting Song;Yitong Wang;Chengwei Fang;Ampalavanapillai Nirmalathas;Christina Lim;Elaine Wong;Sithamparanathan Kandeepan

2022 Optical Fiber Communications Conference and Exhibition (OFC)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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Optical wireless communications (OWC) explore the broad unregulated optical spectrum to provide high speed wireless communications, which are promising in beyond 5G. We will discuss the fundamentals and recent developments of short-range OWC systems in this tutorial.Show More

Evolution of Short-Range Optical Wireless Communications

Ke Wang;Tingting Song;Yitong Wang;Chengwei Fang;Ampalavanapillai Nirmalathas;Christina Lim;Elaine Wong;Sithamparanathan Kandeepan

2022 Optical Fiber Communications Conference and Exhibition (OFC)

Year: 2022 | Conference Paper |

Tutorial: Evolution of Machine Learning in Optical Access Networks

Elaine Wong;Lihua Ruan;Sourav Mondal

2022 Optical Fiber Communications Conference and Exhibition (OFC)

Year: 2022 | Conference Paper |

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This tutorial will provide a comprehensive review of the evolution of machine learning in optical access networks, from drivers, supporting technologies, through to novel applications and new use cases.Show More

Tutorial: Evolution of Machine Learning in Optical Access Networks

Elaine Wong;Lihua Ruan;Sourav Mondal

2022 Optical Fiber Communications Conference and Exhibition (OFC)

Year: 2022 | Conference Paper |

4G to 6G: disruptions and drivers for optical access [Invited]

Chathurika Ranaweera;Jonathan Kua;Imali Dias;Elaine Wong;Christina Lim;Ampalavanapillai Nirmalathas

Journal of Optical Communications and Networking

Year: 2022 | Volume: 14, Issue: 2 | Journal Article |

Cited by: Papers (25)

The exponential growth of diverse smart mobile applications such as smart monitoring, holograms, and autonomous vehicles are driving mobile technologies toward a more intelligent and software-defined communication system. This growing demand has led to the next giant leap in next-generation wireless communication technology, i.e., sixth-generation (6G) mobile technology, which anticipates providin...Show More

4G to 6G: disruptions and drivers for optical access [Invited]

Chathurika Ranaweera;Jonathan Kua;Imali Dias;Elaine Wong;Christina Lim;Ampalavanapillai Nirmalathas

Journal of Optical Communications and Networking

Year: 2022 | Volume: 14, Issue: 2 | Journal Article |

Intelligent Radio Resource Allocation for Human-Robot Collaboration

Ye Feng;Lihua Ruan;Ampalavanapillai Nirmalathas;Elaine Wong

IEEE Open Journal of the Communications Society

Year: 2022 | Volume: 3 | Journal Article |

Cited by: Papers (4)

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The recent surge in human-controlled robotics and haptic devices research is expediting a paradigm shift in today’s communication networks towards human-to-robot (H2R) centric technologies that support Industrial Internet of Things (IIoT) and Industry 5.0. In both IIoT and Industry 5.0, human skills are extended through collaboration with robots that are geographically separated from the human. De...Show More

Intelligent Radio Resource Allocation for Human-Robot Collaboration

Ye Feng;Lihua Ruan;Ampalavanapillai Nirmalathas;Elaine Wong

IEEE Open Journal of the Communications Society

Year: 2022 | Volume: 3 | Journal Article |

Application Based Energy Optimization for Computation Offloading in Hierarchical MEC Network

Shanmuganathan Thananjeyan;Chien Aun Chan;Elaine Wong;Ampalavanapillai Nirmalathas

2021 10th International Conference on Information and Automation for Sustainability (ICIAfS)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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Multi-access edge computing (MEC) is an emerging solution for computation offloading issues of mobile applications that require very low latency and high computing capacity. Since MEC hosts can be deployed in a hierarchical network, energy efficiency in host selection and migration problems of computation offloading is a critical challenge for MEC service providers. In this paper, the energy optim...Show More

Application Based Energy Optimization for Computation Offloading in Hierarchical MEC Network

Shanmuganathan Thananjeyan;Chien Aun Chan;Elaine Wong;Ampalavanapillai Nirmalathas

2021 10th International Conference on Information and Automation for Sustainability (ICIAfS)

Year: 2021 | Conference Paper |

An Adaptable Contention-free MAC Protocol for Full-duplex Split-plane Optical Wireless Network

Sampath Edirisinghe;Chathurika Ranaweera;Elaine Wong;Christina Lim;Ampalavanapillai Nirmalathas

ICC 2021 - IEEE International Conference on Communications

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Optical wireless communication (OWC) is emerging as a potential solution for the deployment of 5G and beyond! 6G heterogeneous networks as it can reach physical layer data rates exceeding 10 Gbps. However, the upper layer protocols of OWC are not yet fully developed to support multi user communication and emerging applications. Hence, the development of proper upper layer protocols and network arc...Show More

An Adaptable Contention-free MAC Protocol for Full-duplex Split-plane Optical Wireless Network

Sampath Edirisinghe;Chathurika Ranaweera;Elaine Wong;Christina Lim;Ampalavanapillai Nirmalathas

ICC 2021 - IEEE International Conference on Communications

Year: 2021 | Conference Paper |

Universal optical network architecture for future wireless LANs [Invited]

Sampath Edirisinghe;Chathurika Ranaweera;Christina Lim;Ampalavanapillai Nirmalathas;Elaine Wong

Journal of Optical Communications and Networking

Year: 2021 | Volume: 13, Issue: 9 | Journal Article |

Cited by: Papers (1)

Ultra-high-capacity indoor wireless connectivity is considered a key technology enabler to support end-to-end delivery of new services in the beyond-5G and 6G era. With physical layer data rates well beyond 10 Gbps, optical wireless communication (OWC) technology is positioning itself as a prospective candidate to support these services. While OWC is capable of handling multi-gigabit data rates in...Show More

Universal optical network architecture for future wireless LANs [Invited]

Sampath Edirisinghe;Chathurika Ranaweera;Christina Lim;Ampalavanapillai Nirmalathas;Elaine Wong

Journal of Optical Communications and Networking

Year: 2021 | Volume: 13, Issue: 9 | Journal Article |

Indoor optical wireless access networks—recent progress [Invited]

Ampalavanapillai Nirmalathas;Tingting Song;Sampath Edirisinghe;Ke Wang;Christina Lim;Elaine Wong;Chathurika Ranaweera;Kamal Alameh

Journal of Optical Communications and Networking

Year: 2021 | Volume: 13, Issue: 2 | Journal Article |

Cited by: Papers (9)

Optical wireless access networks have seen rapid progress. With beam-steering capability, optical wireless communications can deliver very high capacity, support user mobility with indoor localization supported directly at the optical layer, be resilient against the blocking of beams by exploiting spatial diversity at the optical layer, and guarantee low-latency links with modified protocols and n...Show More

Indoor optical wireless access networks—recent progress [Invited]

Ampalavanapillai Nirmalathas;Tingting Song;Sampath Edirisinghe;Ke Wang;Christina Lim;Elaine Wong;Chathurika Ranaweera;Kamal Alameh

Journal of Optical Communications and Networking

Year: 2021 | Volume: 13, Issue: 2 | Journal Article |

Achieving Low-Latency Human-to-Machine (H2M) Applications: An Understanding of H2M Traffic for AI-Facilitated Bandwidth Allocation

Lihua Ruan;Maluge Pubuduni Imali Dias;Elaine Wong

IEEE Internet of Things Journal

Year: 2021 | Volume: 8, Issue: 1 | Journal Article |

Cited by: Papers (23)

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Human-controlled and haptic feedback data in emerging Tactile Internet human-to-machine (H2M) applications require stringent low-latency transmission. Understanding the traffic features of the new applications is vital in innovating network control and resource allocation strategies to meet their latency demand. In this article, we present our experimental study on human control and haptic feedbac...Show More

Achieving Low-Latency Human-to-Machine (H2M) Applications: An Understanding of H2M Traffic for AI-Facilitated Bandwidth Allocation

Lihua Ruan;Maluge Pubuduni Imali Dias;Elaine Wong

IEEE Internet of Things Journal

Year: 2021 | Volume: 8, Issue: 1 | Journal Article |

Control and Data Plane Separation for Interoperable Indoor Wireless Access Connectivity

Elaine Wong;Sampath Edirisinghe;Chathurika Ranaweera;Christina Lim;Ampalavanapillai Nirmalathas

2020 European Conference on Optical Communications (ECOC)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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We present a centrally-controlled indoor network that harnesses data/control plane separation, virtualization of resources, and a high-capacity distribution architecture to achieve interoperability between OWC and competing wireless access technologies. Such a network could potentially support end-to-end delivery of heterogeneous services in the beyond-5G and 6G era.Show More

Control and Data Plane Separation for Interoperable Indoor Wireless Access Connectivity

Elaine Wong;Sampath Edirisinghe;Chathurika Ranaweera;Christina Lim;Ampalavanapillai Nirmalathas

2020 European Conference on Optical Communications (ECOC)

Year: 2020 | Conference Paper |

Novel Spatial Modulation Channel Index Detection in Optical Wireless Communications with Signal Space Diversity

Tingting Song;Elaine Wong;Ampalavanapillai Nirmalathas;Kamal Alameh;Christina Lim;Ke Wang

2020 IEEE Photonics Conference (IPC)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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A novel spatial modulation channel index detection algorithm using a joint maximum-a-posteriori estimation is proposed for optical wireless communications with 4-CAP modulation and transmitter diversity. Diversity gain, enabling improvement of about 0.4dB in SNR and 1.5-times in data rate, is achieved with reduced computation complexity.Show More

Novel Spatial Modulation Channel Index Detection in Optical Wireless Communications with Signal Space Diversity

Tingting Song;Elaine Wong;Ampalavanapillai Nirmalathas;Kamal Alameh;Christina Lim;Ke Wang

2020 IEEE Photonics Conference (IPC)

Year: 2020 | Conference Paper |

Mobility-Aware Energy Optimization in Hosts Selection for Computation Offloading in Multi-Access Edge Computing

Shanmuganathan Thananjeyan;Chien Aun Chan;Elaine Wong;Ampalavanapillai Nirmalathas

IEEE Open Journal of the Communications Society

Year: 2020 | Volume: 1 | Journal Article |

Cited by: Papers (18)

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Multi-access edge computing (MEC) has been proposed as an approach capable of addressing latency and bandwidth issues in application computation offloading to extend the capabilities beyond the computational and storage limitations of mobile devices. However, there is a critical challenge in MEC to maintain the service continuity between the offloaded user application that is running on the MEC ho...Show More

Mobility-Aware Energy Optimization in Hosts Selection for Computation Offloading in Multi-Access Edge Computing

Shanmuganathan Thananjeyan;Chien Aun Chan;Elaine Wong;Ampalavanapillai Nirmalathas

IEEE Open Journal of the Communications Society

Year: 2020 | Volume: 1 | Journal Article |

Enabling Remote Human-to-Machine Applications With AI-Enhanced Servers Over Access Networks

Sourav Mondal;Lihua Ruan;Martin Maier;David Larrabeiti;Goutam Das;Elaine Wong

IEEE Open Journal of the Communications Society

Year: 2020 | Volume: 1 | Journal Article |

Cited by: Papers (32)

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The recent research trends for achieving ultra-reliable and low-latency communication networks are largely driven by smart manufacturing and industrial Internet-of-Things applications. Such applications are being realized through Tactile Internet that allows users to control remote things and involve the bidirectional transmission of video, audio, and haptic data. However, the end-to-end propagati...Show More

Enabling Remote Human-to-Machine Applications With AI-Enhanced Servers Over Access Networks

Sourav Mondal;Lihua Ruan;Martin Maier;David Larrabeiti;Goutam Das;Elaine Wong

IEEE Open Journal of the Communications Society

Year: 2020 | Volume: 1 | Journal Article |

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