TY - GEN
T1 - Performance prediction of robust header compression version 2 for RTP audio streaming using linear regression
AU - Tömösközi, Máté
AU - Seeling, Patrick
AU - Ekler, Péter
AU - Fitzek, Frank H.P.
N1 - Publisher Copyright:
© VDE Verlag GMBH, Berlin, Offenbach, Germany.
PY - 2016
Y1 - 2016
N2 - Modern cellular networks utilising the long-term evolution (LTE) and the coming 5G set of standards face an ever-increasing demand for mobile data with low latency from connected devices. Header compression is employed to minimise the overhead for IP-based cellular network traffic, thereby decreasing the overall bandwidth usage, which consequently results in decreased delay for transmissions. In this paper, we evaluate a basic linear function to predict Robust Header Compression version 2's (RFC 5225) RTP compression savings on-the-fly, which will enable the compression to adapt to varying channel conditions dynamically. We find that this approach can achieve more than 90%accuracy for low error rates while being computationally non-demanding. This will aid future compressors to minimise compression overhead, thereby increasing the compression gain even further.
AB - Modern cellular networks utilising the long-term evolution (LTE) and the coming 5G set of standards face an ever-increasing demand for mobile data with low latency from connected devices. Header compression is employed to minimise the overhead for IP-based cellular network traffic, thereby decreasing the overall bandwidth usage, which consequently results in decreased delay for transmissions. In this paper, we evaluate a basic linear function to predict Robust Header Compression version 2's (RFC 5225) RTP compression savings on-the-fly, which will enable the compression to adapt to varying channel conditions dynamically. We find that this approach can achieve more than 90%accuracy for low error rates while being computationally non-demanding. This will aid future compressors to minimise compression overhead, thereby increasing the compression gain even further.
KW - Bandwidth savings
KW - Cellular networks
KW - Mobile multimedia
KW - Robust header compression
UR - http://www.scopus.com/inward/record.url?scp=84980318190&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84980318190
T3 - European Wireless Conference 2016, EW 2016
SP - 61
EP - 66
BT - European Wireless Conference 2016, EW 2016
PB - VDE
T2 - 22nd European Wireless Conference, EW 2016
Y2 - 18 May 2016 through 20 May 2016
ER -