Throughput Prediction Across Heterogeneous Boundaries in Wireless Communications

Authors

  • Rayyan Sayeed Drew University, Madison, NJ, USA
  • Raymond Miller Bell Laboratories, 600 Mountain Avenue, Murray Hill, NJ, USA
  • Zulfiquar Sayeed Bell Laboratories, 600 Mountain Avenue, Murray Hill, NJ, USA

DOI:

https://doi.org/10.13052/2245-1439.441

Keywords:

Data Analytics, LMS, Functional Regression, Prediction, 5G, LTE, Handover

Abstract

In this paper we demonstrate how an estimated functional kernel-regression polynomial from a particular RF technology can be created by the mobiles being served by that technology. A 3rd order polynomial description of the regression can be used to predict future throughput by observing the “pilot” quality prior to handover. The UE may use it to predict the throughput it will get in the new technology 50 to 200 m-sec prior to handover. The prediction can inform the Transport Control Protocol (TCP) layer or the application layer of the upcoming handover and the throughput expected after handover so that the user application receives the best quality of service. This paper is an extended version of the paper presented at IEEE Sarnoff Symposium 2015 [1]. It extends the paper with expanded foundational knowledge and explanation of the results and their implications. In this paper we: • propose that there is a way to predict the unobservable quality metrics in the new cell prior to commencement of the handover. This is achieved by 1) a prediction mechanism and 2) a signaling mechanism. In this paper we focus on the prediction mechanism. • propose that the observable metric (“pilot” quality) is predicted with prediction error below 9% with prediction step sizes of 200 m-sec. • show that the throughput metric (we choose bits/physical-resourceblock = β) can be predicted with error below 8% with prediction horizon of 200 m-sec.

 

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Author Biographies

Rayyan Sayeed, Drew University, Madison, NJ, USA

R. Sayeed, a native of Hightstown, NJ, is currently pursuing his undergraduate study as mathematics major at Drew University in Madison, NJ. His academic interests include real and complex analysis as well as particle physics. Rayyan holds a pending patent for his work in mobile handover in the field of telecommunications an idea he worked on under the auspices of Bell Labs. He has presented a conference paper at the IEEE Sarnoff Symposium in 2015. He is a Baldwin and RISE Scholar at Drew University. He belongs to the National High School Scholar and the National French Scholar Societies. Outside of the classroom, he enjoys playing tennis, working out, listening to Pink Floyd, and spending time with his friends.

Raymond Miller, Bell Laboratories, 600 Mountain Avenue, Murray Hill, NJ, USA

R. B. Miller, is a researcher in the End-to-End Mobile Network and Services Research Department at Bell Labs in Murray Hill, New Jersey. He holds a degree in electrical engineering from Rutgers University, New Brunswick, New Jersey. He has over 28 years of experience in the research into and development of network and wireless communication systems. Since joining Bell Labs, he has had responsibilities and duties in a wide range of telecommunications technologies including core optical systems, metro Ethernet systems, and third and fourth generation (3G/4G) wireless systems. Most recently, he is actively involved in research pertaining to 5G services and network orchestration. He has numerous patents relating to his work on wireless communication systems.

Zulfiquar Sayeed, Bell Laboratories, 600 Mountain Avenue, Murray Hill, NJ, USA

Z. Sayeed, was born in Dhaka, Bangladesh. He received the B.S. in electrical engineering from the California Institute of Technology in 1990, the M.S. and Ph.D. degrees in electrical engineering from the University of Pennsylvania in 1993 and 1996, respectively. He also holds a B.A. in Liberal Arts from Ohio Wesleyan University. He has been with Bell Laboratories since 1997. He is currently involved in Predictive Content Services for Wireless Communications. He was previously involved with network modeling, algorithm development, simulation, and performance analysis of wireless systems. He was a key contributor to the system architecture and algorithm development of a state-of-the-art CD quality satellite digital audio radio system that is now fully operational. Dr. Sayeed holds 25 U.S. patents and has 18 pending applications. In his spare time he loves listening to music and loves a good classic lead guitar riff!

References

Sayeed, R., Miller, R., and Sayeed Z. (2015). “Forecasting of throughput across heterogeneous boundaries in wireless communications: algorithm and performance,” in The 36th IEEE Sarnoff Symposium, Newark, NJ, USA, 1–6.

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Published

2016-01-14

How to Cite

1.
Sayeed R, Miller R, Sayeed Z. Throughput Prediction Across Heterogeneous Boundaries in Wireless Communications. JCSANDM [Internet]. 2016 Jan. 14 [cited 2024 Nov. 24];4(4):233-58. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/5167

Issue

2015: Vol 4 Iss 4

Section

Articles