Abstract
IP Flow Mobility (IFOM) enables a user equipment to offload data traffic at the IP flow level. Although the procedure of IFOM-based flow offloading has been specified by 3GPP, how many IP flows should be offloaded and when offloading should be performed are not defined. Consequently, IP flows may be routed to a target access network which has a strong signal strength but with backhaul congestion or insufficient access capability. In this paper, we propose two algorithms, referred to as proportional offloading (PO), and proportional and preemption-enabled offloading (PPO), respectively, for IP flow offloading in hybrid cellular and wireless local area networks. The PO algorithm decides an optimal proportion of IP flows which could be offloaded by considering available resources at the target access network. In the PPO algorithm, both service continuity and network utilization are taken into consideration. Furthermore, a detailed analytical model is developed in order to evaluate the behavior of the proposed algorithms. The analytical model is validated through extensive simulations. The results show that by dynamically adjusting the percentage of traffic flows to be offloaded, PO can reduce blocking probability and increase resource utilization. PPO further improves the performance at the cost of slightly higher offloading overhead.
Original language | English |
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Pages (from-to) | 12095-12108 |
Number of pages | 14 |
Journal | IEEE Transactions on Vehicular Technology |
Volume | 67 |
Issue number | 12 |
Early online date | 1 Oct 2018 |
DOIs | |
Publication status | Published - Dec 2018 |
Keywords
- 3GPP
- Analytical models
- Delays
- Heuristic algorithms
- IP networks
- Wireless fidelity
Profiles
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Edwin Ren
- School of Computing Sciences - Associate Professor in Computing Sciences
- Cyber Security Privacy and Trust Laboratory - Member
- Smart Emerging Technologies - Member
Person: Research Group Member, Academic, Teaching & Research