A novel evolutionary algorithm (MFO) with rate monotonic scheduling for load balancing in LTE advanced networks
Year of publication: |
2020
|
---|---|
Authors: | Pradeep, S. ; Lakshminarasimman, L. |
Published in: |
International journal of networking and virtual organisations : IJNVO. - Geneva : Inderscience Enterprises, ISSN 1470-9503, ZDB-ID 2105494-0. - Vol. 22.2020, 4, p. 445-461
|
Subject: | LTE | femto cells | macro cells | cluster | WLAN | WiMAX | moth flame optimisation | MFO | rate-monotonic scheduling | RMS | Scheduling-Verfahren | Scheduling problem | Evolutionärer Algorithmus | Evolutionary algorithm | Theorie | Theory | Algorithmus | Algorithm |
-
A meta-heuristic, moth inspired algorithm for combined economic and environmental power dispatch
Mustafa, N., (2018)
-
Two enhanced differential evolution algorithms for job shop scheduling problems
Wisittipanich, Warisa, (2012)
-
Zhu, Guang-Yu, (2018)
- More ...
-
Lakshminarasimman, L., (2008)
-
Lakshminarasimman, L., (2008)
- More ...