Abstract
Large demands for mobile traffic subject base stations to frequent short-term and sharp peak loads. Recent analysis of data traffic on commercial mobile networks reported that the traffic peaks can be reduced by an average of 40% without compromising the quality of experience provided to the end user, if a peak load can be shifted for at most 20 s. To reduce peak traffic, we previously proposed a method for off-peak data transfer, with which user equipment (UE) autonomously delays receiving data, and a peak load on a base station can be shifted. In terms of off-peak transfer of data, a significant problem is determining how each UE estimates available throughput. In this paper we propose a method of passively estimating available throughput of each UE. We evaluated the effectiveness of the proposed method through experiments on experimental and commercial LTE networks. The results indicate that our method obtains more than a 0.7 correlation between actual available throughput and estimated throughput.
Highlights
Large mobile traffic demands subject base stations to frequent short-term and sharp peak loads
(iii) Our proposed method can be used for off-peak transfer of data, which can mitigate the peak load of a base station and improve communication quality without compromising the quality of experience (QoE) provided to the end user
Results for resource block (RB)-Usage-Rate Estimation. ese verification experiments showed that a user equipment (UE) can accurately estimate the RB usage rate of the connected cell from the measured reference signal receive quality (RSRQ) and signal-to-interference-plus-noise ratio (SINR)
Summary
For both network applications and network management, available throughput estimation on mobile networks is becoming important because mobile networks are widely used, and the throughput of mobile access networks between a base station and UE fluctuates quite a bit due to radio quality fluctuation such as radio interference and UE motion. Probe packets, which active measurement methods send for estimating available throughput, increase a base-station load. An off-peak data transfer system can be classified in terms of where base-station load or available throughput is monitored and the traffic is controlled. For monitoring base-station load, base-station monitoring and client-side monitoring are possible candidate architecture of off-peak data transfer system. It is better for an off-peak data transfer system to monitor base-station load and control traffic at the same place because it is not necessary to send monitoring results to the controller. We focus on short-term off-peak data transfer by passively monitoring base-station traffic on a client. We explain our proposed method for estimating base-station load and available throughput from metrics that the client can acquire
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
