Name
Abstract | ||
|---|---|---|
With the fast proliferation of the smartphone usage, the mobile traffic has far more exceeded than the capacity of the LTE-A (Long Term Evolution-Advanced) networks. Hence, the Mobile Network Operators (MNOs) are looking for alternative opportunities to handle the network traffic instead of deploying cost-incurring classical devices. Mobile data offloading, which refers to diverting traffic from cellular networks to other complementary technologies such as WiFi access points offer to be a promising solution. APs provides better data services due to the small coverage area (100 m) and improves battery life. WiFi offloading, when implemented using Software-Defined Networking (SDN) helps in the dynamic management of a complex Heterogeneous Networks (HetNets). In this paper, we propose a novel SDN-Assisted Learning Approach (SALA) to provide better Quality of Experience (QoE) for both the cell edge users and intensive network users at the LTE-A base station using the unlicensed spectrum of the APs. We then verify our novel SALA framework against simulations based on real-world usage, and offer insight to the expected offloading gains in practice. |
Year | DOI | Venue |
|---|---|---|
2017 | https://doi.org/10.1007/s11036-017-0838-5 | MONET |
Keywords | Field | DocType |
5G,HetNets,LTE-A,SDN-Assisted,Mobile data offloading,WiFi APs,POX controller,Mininet | Base station,Spectrum management,Computer science,Mobile data offloading,Computer network,Small cell,Quality of experience,Cellular network,Heterogeneous network,Distributed computing,LTE Advanced | Journal |
Volume | Issue | ISSN |
22 | 4 | 1383-469X |
Citations | PageRank | References |
2 | 0.37 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudha Anbalagan | 1 | 33 | 4.94 |
| Dhananjay Kumar | 2 | 25 | 6.00 |
| Dipak Ghosal | 3 | 2848 | 163.40 |
| gunasekaran raja | 4 | 24 | 7.46 |
| Muthuvalliammai V | 5 | 2 | 0.37 |