Name
Abstract | ||
|---|---|---|
This paper proposes a modified bat algorithm for optimal resource allocation scheme in closed access femtocell networks. Bat algorithm is a new nature-inspired metaheuristic algorithm which is inspired by the behaviour of bats echolocation. The main objective of the proposed algorithm is to select the best combination of resource blocks for femto users so as to minimize the co- and cross-tier interference in macrocell-femtocell network. To deal with a discrete solution in resource allocation problem, the original bat algorithm updating rule is modified using nearest integer method. The simulation results show that the proposed algorithm improves the throughput of the femtocell networks compared to that of random allocation scheme. |
Year | Venue | Field |
|---|---|---|
2016 | Asia-Pacific Conference on Communications | Resource management,Femto-,Femtocell,Bat algorithm,Computer science,Computer network,Resource allocation,Throughput,Orthogonal frequency-division multiplexing,Metaheuristic,Distributed computing |
DocType | ISSN | Citations |
Conference | 2163-0771 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nifty Fath | 1 | 0 | 0.34 |
| I. Wayan Mustika | 2 | 22 | 4.56 |
| Selo Sulistyo | 3 | 12 | 6.38 |
| Koji Yamamoto | 4 | 86 | 16.61 |
| Hidekazu Murata | 5 | 164 | 37.72 |