Name
Title | ||
|---|---|---|
Social-Aware Joint Uplink and Downlink Resource Allocation Scheme Using Genetic Algorithm |
Abstract | ||
|---|---|---|
This paper investigates a joint uplink and downlink resource allocation problem for a 5G use case. We explore the social-awareness of the network operators to efficiently match users during any form of peer-to-peer communication. Thus, we proposed a peer-selection scheme to improve the overall utility of the network amid limited spectral resources while exploiting the social-ties of network users’... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/AFRICON51333.2021.9570887 | 2021 IEEE AFRICON |
Keywords | DocType | ISBN |
Measurement,Privacy,Monte Carlo methods,Programming,Downlink,Peer-to-peer computing,Resource management | Conference | 978-1-6654-1984-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen O. Ekwe | 1 | 0 | 0.34 |
| Lateef A. Akinyemi | 2 | 0 | 0.34 |
| Sunday O. Oladejo | 3 | 0 | 0.34 |
| Neco Ventura | 4 | 124 | 25.86 |