Ian Wassell

Ian Wassell

University of Cambridge

H-index: 36

Europe-United Kingdom

About Ian Wassell

Ian Wassell, With an exceptional h-index of 36 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Wireless communications, sparse processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Expedient ai-assisted indoor wireless network planning with data-driven propagation models

Characterizing Mobile Service Demands at Indoor Cellular Networks

Deep learning-based path loss prediction for outdoor wireless communication systems

Wireless channel estimation for high-speed rail communications: Challenges, solutions and future directions

IRDM: A generative diffusion model for indoor radio map interpolation

An Expedient, Generalizable and Realistic Data-Driven Indoor Propagation Model

Deep-learning-based multivariate time-series classification for indoor/outdoor detection

Research data supporting''Deep Learning-based Multivariate Time Series Classification for Indoor Outdoor Detection

Ian Wassell Information

University

Position

___

Citations(all)

5075

Citations(since 2020)

1421

Cited By

4308

hIndex(all)

36

hIndex(since 2020)

18

i10Index(all)

111

i10Index(since 2020)

29

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Ian Wassell Skills & Research Interests

Wireless communications

sparse processing

Top articles of Ian Wassell

Title

Journal

Author(s)

Publication Date

Expedient ai-assisted indoor wireless network planning with data-driven propagation models

Authorea Preprints

Stefanos Bakirtzis

Marco Fiore

Ian Wassell

Jie Zhang

2023/10/30

Characterizing Mobile Service Demands at Indoor Cellular Networks

Stefanos Bakirtzis

André Felipe Zanella

Stefania Rubrichi

Cezary Ziemlicki

Zbigniew Smoreda

...

2023/10/24

Deep learning-based path loss prediction for outdoor wireless communication systems

Kehai Qiu

Stefanos Bakirtzis

Hui Song

Ian Wassell

Jie Zhang

2023/6/4

Wireless channel estimation for high-speed rail communications: Challenges, solutions and future directions

Xuying Chen

Wei Chen

Xiao Gong

Bo Ai

Ian Wassell

2023/3/1

IRDM: A generative diffusion model for indoor radio map interpolation

Kehai Qiu

Stefanos Bakirtzis

Ian Wassell

Hui Song

Kan Lin

...

2023/12/4

An Expedient, Generalizable and Realistic Data-Driven Indoor Propagation Model

Authorea Preprints

Stefanos Bakirtzis

Jiming Chen

Kehai Qiu

Jie Zhang

Ian Wassell

2023/10/31

Deep-learning-based multivariate time-series classification for indoor/outdoor detection

IEEE Internet of Things Journal

Stefanos Bakirtzis

Kehai Qiu

Ian Wassell

Marco Fiore

Jie Zhang

2022/7/13

Research data supporting''Deep Learning-based Multivariate Time Series Classification for Indoor Outdoor Detection

Stefanos Bakirtzis

Kehai Qiu

Ian Wassell

Marco Fiore

Jie Zhang

2022/7/12

Pseudo ray-tracing: Deep leaning assisted outdoor mm-wave path loss prediction

IEEE Wireless Communications Letters

Kehai Qiu

Stefanos Bakirtzis

Hui Song

Jie Zhang

Ian Wassell

2022/5/13

EM DeepRay: An expedient, generalizable, and realistic data-driven indoor propagation model

IEEE Transactions on Antennas and Propagation

Stefanos Bakirtzis

Jiming Chen

Kehai Qiu

Jie Zhang

Ian Wassell

2022/5/9

DeepRay: Deep learning meets ray-tracing

Stefanos Bakirtzis

Kehai Qiu

Jie Zhang

Ian Wassell

2022/3/27

Stochastic evaluation of indoor wireless network performance with data-driven propagation models

Stefanos Bakirtzis

Ian Wassell

Marco Fiore

Jie Zhang

2022/12/4

Prior information aided deep learning method for grant-free NOMA in mMTC

IEEE Journal on Selected Areas in Communications

Yanna Bai

Wei Chen

Bo Ai

Zhangdui Zhong

Ian J Wassell

2021/11/8

6G opportunities arising from internet of things use cases: a review paper

Basel Barakat

Ahmad Taha

Ryan Samson

Aiste Steponenaite

Shuja Ansari

...

2021/6

Distributed Video Adaptive Block Compressive Sensing

arXiv preprint arXiv:2104.00636

Joseph Zammit

Ian J Wassell

2021/4/1

Modelling IoT devices communication employing representative operation modes to reveal traffic generation characteristics

International Journal of Parallel, Emergent and Distributed Systems

Basel Barakat

Simeon Keates

Ian J Wassell

Kamran Arshad

2021/3/4

A grant-free method for massive machine-type communication with backward activity level estimation

IEEE Transactions on Signal Processing

Han Xiao

Wei Chen

Jun Fang

Bo Ai

Ian J Wassell

2020/11/24

Assistive technology for the visually impaired: Optimizing frame rate (freshness) to improve the performance of real-time objects detection application

Basel Barakat

Aiste Steponenaite

Gurprit S Lall

Kamran Arshad

Ian J Wassell

...

2020/7/10

Adaptive block compressive sensing: Toward a real-time and low-complexity implementation

IEEE Access

Joseph Zammit

Ian J Wassell

2020/7/3

Profit‐oriented cooperative caching algorithm for hierarchical content centric networking

IET Communications

Meiyi Yang

Mingchuan Zhang

Junlong Zhu

Ruoshui Liu

Qingtao Wu

...

2020/6

See List of Professors in Ian Wassell University(University of Cambridge)