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Curtis Knittle

Researcher at CableLabs

Publications -  30
Citations -  281

Curtis Knittle is an academic researcher from CableLabs. The author has contributed to research in topics: Passive optical network & Delta-sigma modulation. The author has an hindex of 7, co-authored 27 publications receiving 199 citations.

Papers
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Journal ArticleDOI

Delta-Sigma Modulation for Next Generation Fronthaul Interface

TL;DR: A new function split option for the next generation fronthaul interface (NGFI) is demonstrated based on all-digital RF transmitter using bandpass delta-sigma modulation and paves the road toward software defined radio (SDR) and virtualization of DU and RRU for improved compatibility and reconfigurability among multiple radio access technologies (multi-RATs).
Patent

Adaptive bit rate method and system using retransmission and replacement

TL;DR: In this article, the authors propose an adaptive method and system for dynamically facilitating access to higher quality content in the event transport of the higher quality contents requires a greater allocation of network resources when compared to transport of a lower quality content.
Proceedings ArticleDOI

IEEE 100 Gb/s EPON

TL;DR: The next generation of IEEE optical access, the 100 Gb/s Ethernet Passive Optical Network (EPON), capable of reaching bit rates of 100 GB/s is discussed.
Journal ArticleDOI

Delta-Sigma Digitization and Optical Coherent Transmission of DOCSIS 3.1 Signals in Hybrid Fiber Coax Networks

TL;DR: In this article, the authors demonstrate delta-sigma digitization and coherent transmission of data over cable system interface specification (DOCSIS) 3.1 signals in a hybrid fiber coax (HFC) network.
Patent

Adaptive bit rate for data transmission

TL;DR: In this paper, an adaptive bit rate system for use in transmitting data at adaptable bit rates is proposed. But the bit rate may be adjusted according to historical behaviors and/or past operational settings, such as but not limited to adjusting a requested bit rate to a different bit rate depending the historical behavior.