Name
Title | ||
|---|---|---|
Weighted Proportional Allocation Based Power Allocation in Wireless Network Virtualization for Future Wireless Networks |
Abstract | ||
|---|---|---|
Wireless network virtualization has been considered as a promising technique that will avail the network operators to address the tremendous demand of mobile data services for 5G cellular networks by improving overall network utilization. With this approach, the cellular networks can be logically decoupled into infrastructure providers (InPs) and mobile virtual network operators (MVNOs). In such scenario, an InP owns wireless resources of base stations (e.g., bandwidth, transmit power, antenna, storage capacity, computation capacity) which is shared with multiple MVNOs. Then, each MVNO will allocate the obtained network slices to their mobile users. So, the resource allocation to the users of MVNOs is really challenging. In this paper, we address the power allocation problem in the network virtualization with the objective of maintaining the beneficiary network utilization in an efficient manner, and intra-slice, inter-slice isolation. To address the proposed power allocation problem we adopt the weighted proportional allocation mechanism. Under this mechanism, MVNOs are modeled as bidders who will bid for power for their mobile users and InP is modeled as an auctioneer (i.e., a seller). Finally, numerical results present our proposed algorithm outperforms equal resource sharing in virtualized wireless networks. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICOIN.2019.8718185 | 2019 International Conference on Information Networking (ICOIN) |
Keywords | Field | DocType |
Weighted proportional allocation,power allocation,wireless network virtualization,future wireless networks | Wireless network virtualization,Wireless network,Computer science,Computer network,Distributed computing | Conference |
ISSN | ISBN | Citations |
1976-7684 | 978-1-5386-8351-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Kyaw Tun | 1 | 48 | 6.18 |
| Shashi Raj Pandey | 2 | 85 | 8.95 |
| Madyan Alsenwi | 3 | 6 | 2.80 |
| Chit Wutyee Zaw | 4 | 2 | 3.44 |
| Choong Seon Hong | 5 | 2044 | 277.88 |