TY - GEN
T1 - QoS-Based Zero-Rating of Cellular Applications
AU - Ramneek,
AU - Hosein, Patrick
AU - Pack, Sangheon
AU - Singh, Karandeep
N1 - Funding Information:
ACKNOWLEDGMENT This research was supported by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742), and by IITP grant funded by Korean Government (Grant No:2014-3-00035).
Funding Information:
This research was supported by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742), and by IITP grant funded by Korean Government (Grant No:2014-3-00035).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - The availability of powerful smart devices capable of supporting ubiquitous Internet access, and the roll-out of advanced networks such as 4G and 5G capable of guaranteeing Quality of Service (QoS), has led to an exponential increase in demand for scarce network resources. The increase in number of users can result in an increased revenue for the mobile network operators. However, unlike wired networks for which capacity can be increased easily, the capacity for cellular networks is limited. This kind of paradox, i.e., rapid growth in customer demand for mobile data services on one hand, and the significant challenges faced by operators for pricing and allocation of the limited resources on the other, is a challenging issue. As a result, cellular network operators rely on techniques such as traffic shaping and zero-rating to manage user demands. In the case of zero-rating, network operator generally limits the throughput provided to certain content or services, and the user generated traffic for those services is not counted in their monthly bill. This not only helps to alleviate congestion but also to expand internet access to those who cannot afford data plans. We propose a framework whereby zero-rating services can be limited by overall QoS rather than only by the data rates. The proposed approach is flexible in that it applies to services with constraints on throughput, delay, error-rate and jitter as well as any combination of these constraints. The approach is also simple since it uses information that is already available to the base-station scheduler and so can be easily deployed.
AB - The availability of powerful smart devices capable of supporting ubiquitous Internet access, and the roll-out of advanced networks such as 4G and 5G capable of guaranteeing Quality of Service (QoS), has led to an exponential increase in demand for scarce network resources. The increase in number of users can result in an increased revenue for the mobile network operators. However, unlike wired networks for which capacity can be increased easily, the capacity for cellular networks is limited. This kind of paradox, i.e., rapid growth in customer demand for mobile data services on one hand, and the significant challenges faced by operators for pricing and allocation of the limited resources on the other, is a challenging issue. As a result, cellular network operators rely on techniques such as traffic shaping and zero-rating to manage user demands. In the case of zero-rating, network operator generally limits the throughput provided to certain content or services, and the user generated traffic for those services is not counted in their monthly bill. This not only helps to alleviate congestion but also to expand internet access to those who cannot afford data plans. We propose a framework whereby zero-rating services can be limited by overall QoS rather than only by the data rates. The proposed approach is flexible in that it applies to services with constraints on throughput, delay, error-rate and jitter as well as any combination of these constraints. The approach is also simple since it uses information that is already available to the base-station scheduler and so can be easily deployed.
KW - 5G
KW - Congestion Management
KW - QoS
KW - Zero-rating
UR - http://www.scopus.com/inward/record.url?scp=85082122850&partnerID=8YFLogxK
U2 - 10.1109/ICOIN48656.2020.9016594
DO - 10.1109/ICOIN48656.2020.9016594
M3 - Conference contribution
AN - SCOPUS:85082122850
T3 - International Conference on Information Networking
SP - 743
EP - 746
BT - 34th International Conference on Information Networking, ICOIN 2020
PB - IEEE Computer Society
T2 - 34th International Conference on Information Networking, ICOIN 2020
Y2 - 7 January 2020 through 10 January 2020
ER -