Analysis of massive MIMO and small cells based 5G cellular networks: Simulative approach
In: Radioelectronics and Communications Systems; Online first articles; Radioelectronics and Communications Systems; Online first articles; 1934-8061; 0735-2727; (2022)
Online
Elektronische Ressource
Zugriff:
Over the last decade, mostly in the urban areas, there is tremendous growth in the cellular traffic. Major concerns for cellular network operators nowadays is to deal with ever changing heterogeneity of users and high specification devices. Amidst upcoming technologies, this work illustrates both Massive MIMO (Multiple Input Multiple Output) based and Small Cells based cellular networks with both large and small-scale fading environment for signal propagation. The Massive MIMO set up network is analyzed with N-antennas at centered macro BS (Base station) offering services to U-users at an instant in the MC is analyzed with sub-6 GHz spectrums. The massive MIMO network is demonstrated with 8 x 8, 16 x 16, 25 x 25, 50 x 50, and 100 x 100 configurations. The Small Cells based cellular network is analyzed with 1-MC and 8-SCs by increasing the number of serving users from 50 to 100. The set up network is analyzed with allocation of sub 6 GHz at MC and mmWave spectrum at deployed SCs. The key performance metrics of the set up networks such as Sumrate, Average User Throughput, and Energy-efficiency are evaluated. With massive MIMO set ups, the plotted result depicts boost in the network sumrate and energy-efficiency with increase in the number of antennas at the centered deployed BS and users in the cell. The SCs based set up also depicts boost in the network sumrate and energy-efficiency with increase in the number of users in the MC serving with same number of SCs (8-SCs).
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Analysis of massive MIMO and small cells based 5G cellular networks: Simulative approach
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Quelle: | Radioelectronics and Communications Systems; Online first articles; Radioelectronics and Communications Systems; Online first articles; 1934-8061; 0735-2727; (2022) |
Veröffentlichung: | 2022 |
Medientyp: | Elektronische Ressource |
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