Name
Abstract | ||
|---|---|---|
Software-defined networking (SDN)-based virtual Fog computing radio access network (Fog-RAN) architecture is known as a potential solution to cope with massive traffic loads in 5G and beyond networks. Dynamic radio and computational resource allocation is needed to handle the fluctuating traffic loads, aiming to reduce power consumption and enhancing user satisfaction. In this paper, we propose a dynamic resource allocation for a SDN-based virtual Fog-RAN. We formulate a mixed-integer non-linear problem to minimize the network power consumption by optimizing the user equipment (UE) - radio units (RUs) association, the physical resource block (PRB) allocation, and the RU power allocation, according to the real-time traffic loads. Then, exploiting the obtained results in the previous problem, we formulate a multiple knapsack problem to optimize the assignment between the active RUs and the virtual baseband units (vBBUs). Finally, we perform a simulation study to analyse the impact of the proposed resource allocation on network power consumption, vBBUs resources savings, and user satisfaction so to validate the performance gains achieved. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/GLOBECOM46510.2021.9685458 | 2021 IEEE Global Communications Conference (GLOBECOM) |
Keywords | DocType | ISSN |
Resource allocation,Software-defined networking,Network function virtualization,Fog computing,Radio access network,Virtual Fog-RAN | Conference | 2334-0983 |
ISBN | Citations | PageRank |
978-1-7281-8105-9 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Payam Rahimi | 1 | 2 | 1.74 |
| Chrysostomos Chrysostomou | 2 | 113 | 12.65 |
| Haris Pervaiz | 3 | 128 | 24.48 |
| Vasos Vassiliou | 4 | 0 | 0.34 |
| Qiang Ni | 5 | 259 | 27.49 |