Khald Werfli
Northumbria University
11 Papers
84 Citations
Khald Werfli is an academic researcher from Northumbria University. The author has contributed to research in topics: Visible light communication & Bandwidth (signal processing). The author has an hindex of 7, co-authored 11 publications.
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Papers
A Multi-CAP Visible-Light Communications System With 4.85-b/s/Hz Spectral Efficiency
Paul Anthony Haigh,Andrew Burton,Khald Werfli,Hoa Le Minh,Edward Bentley,Petr Chvojka,Wasiu O. Popoola,Ioannis Papakonstantinou,Stanislav Zvanovec +8 more
TL;DR: The relationship between throughput/spectral efficiency and m, where m = {10, 8, 6, 4, 2, 1} subcarriers over a fixed total signal bandwidth of 6.5 MHz is investigated.
Experimental Demonstration of High-Speed 4 × 4 Imaging Multi-CAP MIMO Visible Light Communications
Khald Werfli,Petr Chvojka,Zabih Ghassemlooy,Navid Bani Hassan,Stanislav Zvanovec,Andrew Burton,Paul Anthony Haigh,Manav R. Bhatnagar +7 more
TL;DR: A solution based on multiplexing in both the frequency and space domains to improve the net data rate of VLC-based high data rate communications systems using VLC is proposed.
On the m-CAP Performance with Different Pulse Shaping Filters Parameters for Visible Light Communications
Petr Chvojka,Khald Werfli,Stanislav Zvanovec,Paul Anthony Haigh,Vaclav Vacek,Petr Dvorak,Petr Pesek,Zabih Ghassemlooy +7 more
TL;DR: It is shown that lower order m
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Multi-band carrier-less amplitude and phase modulation with decision feedback equalization for bandlimited VLC systems
Khald Werfli,Paul Anthony Haigh,Zabih Ghassemlooy,Petr Chvojka,Stanislav Zvanovec,Sujan Rajbhandari,Shihe Long +6 more
- 03 Dec 2015
TL;DR: Simulation results that show the principle of implementing multi-band carrierless amplitude and phase (m-CAP) modulation enhanced by the decision feedback equalizer (DFE) for a bandlimited visible light communications (VLC) system are presented.
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A new concept of multi-band carrier-less amplitude and phase modulation for bandlimited visible light communications
Khald Werfli,Paul Anthony Haigh,Zabih Ghassemlooy,Navid Bani Hassan,Stanislav Zvanovec +4 more
- 20 Jul 2016
TL;DR: Using the proposed m-CAP concept, a reduction in the complexity is shown by reducing the number of finite impulse response (FIR) filters by 80%, 75%, -67% and 50% in contrast to the conventional 10, 8, 6, and 4-CAP, respectively.