Optimizing Network Information for Radio Access Technology Selection

Abstract : The rapid proliferation of radio access technologies (e.g., HSPA, LTE, WiFi and WiMAX) may be turned into advantage. When their radio resources are jointly managed, heterogeneous networks inevitably enhance resource utilization and user experience. In this context, we tackle the Radio Access Technology (RAT) selection and propose a hybrid decision framework that integrates operator objectives and user preferences. Mobile users are assisted in their decisions by the network that broadcasts cost and QoS parameters. By signaling appropriate decisional information, the network tries to globally control users decision in a way to meet operator objectives. Besides, mobiles combine their needs and preferences with the signaled network information, and select their access technology so as to maximize their own utility. Deriving network information is formulated as a Semi-Markov Decision Process (SMDP). We show how to dynamically optimize long-term network reward, aligning with user preferences. Index Terms—Radio access technology selection, Semi-Markov Decision Process, hybrid decision-making approach.
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01182886
Contributor : Melhem El Helou <>
Submitted on : Wednesday, August 5, 2015 - 11:07:33 AM
Last modification on : Friday, November 16, 2018 - 1:37:56 AM
Long-term archiving on : Wednesday, April 26, 2017 - 8:33:41 AM

File

ELHELOU_ISCC2014.pdf
Files produced by the author(s)

Identifiers

Citation

Melhem El Helou, Marc Ibrahim, Samer Lahoud, Kinda Khawam. Optimizing Network Information for Radio Access Technology Selection. IEEE Symposium on Computers and Communications - ISCC 2014, Jun 2014, Madeira, Portugal. ⟨10.1109/ISCC.2014.6912591⟩. ⟨hal-01182886⟩

Share

Metrics

Record views

525

Files downloads

183