- Tytuł:
- Performance Comparison of Optimization Methods for Flat-Top Sector Beamforming in a Cellular Network
- Autorzy:
-
Nandi, Pampa
Roy, Jibendu Sekhar - Powiązania:
- https://bibliotekanauki.pl/articles/2142316.pdf
- Data publikacji:
- 2022
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
flat-top sector beam
particle swarm optimization
real-coded genetic algorithm - Opis:
- The flat-top radiation pattern is necessary to form an appropriate beam in a sectored cellular network and to pro vide users with best quality services. The flat-top pattern offers sufficient power and allows to minimize spillover of signal to adjacent sectors. The flat-top sector beam pattern is relied upon In sectored cellular networks, in multiple-input multiple-output (MIMO) systems and ensures a nearly constant gain in the desired cellular sector. This paper presents a comparison of such optimization techniques as real-coded genetic algorithm (RGA) and particle swarm optimization (PSO), used in cellular networks in order to achieve optimum flat-top sector patterns. The individual parameters of flat-top sector beams, such as cellular coverage, ripples in the flat-top beam, spillover of radiation to the adjacent sectors and side lobe level (SLL) are investigated through optimization performed for 40◦ and 60◦ sectors. These parameters are used to compare the performance of the optimized RGA and PSO algorithms. Overall, PSO outperforms the RGA algorithm.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2022, 3; 39--46
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł