TY - GEN
T1 - Transport layer performance in 5G mmWave cellular
AU - Zhang, Menglei
AU - Mezzavilla, Marco
AU - Ford, Russell
AU - Rangan, Sundeep
AU - Panwar, Shivendra
AU - Mellios, Evangelos
AU - Kong, Di
AU - Nix, Andrew
AU - Zorzi, Michele
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/6
Y1 - 2016/9/6
N2 - The millimeter wave (mmWave) bands are likely to play a significant role in next generation cellular systems due to the possibility of very high throughput thanks to the availability of massive bandwidth and high-dimensional antennas. Especially in Non-Line-of-Sight conditions, significant variations in the received RF power can occur as a result of the scattering from nearby building and terrain surfaces. Scattering objects come and go as the user moves through the local environment. At the higher end of the mmWave band, rough surface scatter generates cluster-based small-scale fading, where signal levels can vary by more than 20 dB over just a few wavelengths. This high level of channel variability may present significant challenges for congestion control. Using our recently developed end-to-end mmWave ns3-based framework, this paper presents the first performance evaluation of TCP congestion control in next-generation mmWave networks. Importantly, the framework can incorporate detailed models of the mmWave channel, beamforming and tracking algorithms, and builds on statistical channel models derived from real measurements in New York City, as well as detailed ray traces.
AB - The millimeter wave (mmWave) bands are likely to play a significant role in next generation cellular systems due to the possibility of very high throughput thanks to the availability of massive bandwidth and high-dimensional antennas. Especially in Non-Line-of-Sight conditions, significant variations in the received RF power can occur as a result of the scattering from nearby building and terrain surfaces. Scattering objects come and go as the user moves through the local environment. At the higher end of the mmWave band, rough surface scatter generates cluster-based small-scale fading, where signal levels can vary by more than 20 dB over just a few wavelengths. This high level of channel variability may present significant challenges for congestion control. Using our recently developed end-to-end mmWave ns3-based framework, this paper presents the first performance evaluation of TCP congestion control in next-generation mmWave networks. Importantly, the framework can incorporate detailed models of the mmWave channel, beamforming and tracking algorithms, and builds on statistical channel models derived from real measurements in New York City, as well as detailed ray traces.
KW - 5G
KW - Congestion control
KW - Millimeter wave cellular
KW - Performance evaluation
KW - Raytracing
KW - TCP
UR - http://www.scopus.com/inward/record.url?scp=84988891256&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988891256&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2016.7562173
DO - 10.1109/INFCOMW.2016.7562173
M3 - Conference contribution
AN - SCOPUS:84988891256
T3 - Proceedings - IEEE INFOCOM
SP - 730
EP - 735
BT - 2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Y2 - 10 April 2016 through 14 April 2016
ER -