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The Journal of Supercomputing

Erschienen in:

08.05.2018

Optimized and low-complexity power allocation and beamforming with full duplex in massive MIMO and small-cell networks

verfasst von: Selvam Paranche Damodaran, Vishvaksenan Kuttathati Srinivasan, Kalidoss Rajakani

Erschienen in: The Journal of Supercomputing | Ausgabe 12/2019

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Abstract

By combining massive multiple-input and multiple-output (Ma-MIMO) and small-cell approaches, it is possible to improve the capacity of the network, with the features like energy efficiency and high coverage. Ma-MIMO helps in advancing the wireless communication, to incorporate it in the wireless broadband standards such as Wi-Fi and LTE. The use of Ma-MIMO is expected to increase the spectral efficiency for the mobile networks. In this paper, these two different technologies are incorporated for improving the 5G wireless communication. The concern of the whole paper is to satisfy the user with high quality of service. The effective technologies like Ma-MIMO and small cell are analyzed by employing beamforming and power allocation while operated in full-duplex transmission mode. The simulation is conducted to prove the optimal as well as low-complexity beamforming and power allocation, which is required for improving the total power consumption.

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Titel: Optimized and low-complexity power allocation and beamforming with full duplex in massive MIMO and small-cell networks
verfasst von: Selvam Paranche Damodaran
Vishvaksenan Kuttathati Srinivasan
Kalidoss Rajakani
Publikationsdatum: 08.05.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 12/2019
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2400-z

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