Energy Efficient Linear and Non-Linear Precoders for Massive MIMO Systems
The term Massive MIMO means, Massive multiple input multiple output also known as (large-scale antenna system, very large MIMO). Massive Multiple-Input-MultipleOutput (MIMO) is the major key technique for the future Fifth Generation (5G) of mobile wireless communication network due to its characteri...
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| Published in: | International Journal of Computer Networks and Communications Security Vol. 8; no. 8; pp. 59 - 66 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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30.08.2020
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| ISSN: | 2410-0595, 2308-9830 |
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| Abstract | The term Massive MIMO means, Massive multiple input multiple output also known as (large-scale antenna system, very large MIMO). Massive Multiple-Input-MultipleOutput (MIMO) is the major key technique for the future Fifth Generation (5G) of mobile wireless communication network due to its characteristics, elements and advantages. Massive MIMO will be comprised of five major elements; antennas, electronic components, network architectures, protocols and signal processing. We realize that precoding technique is a processing technique that utilizes Channel State Information Technique (CSIT) by operating on the signals before transmitting them. This technique varies base on the type of CSIT and performance criterion. Precoding technique is the last digital processing block at the transmitting side. In this paper, linear and non-linear Precoding technique was reviewed and we proposed two techniques under each that is Minimum Mean Square Error (MMSE), Block Diagonalization (BD), Tomlinson-Harashima (TH) and Dirty paper coding (DPC). Four Precoding techniques: MMSE, BD, DPC and TH were used in the studies to power consumption, energy efficiency and area throughput for single-cell and multi-cell scenarios. In comparing the proposed techniques, in terms of energy efficiency and area throughput, reuse factor (Reuse 4) performs better than other techniques when there is an imperfect CSI is used |
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| AbstractList | The term Massive MIMO means, Massive multiple input multiple output also known as (large-scale antenna system, very large MIMO). Massive Multiple-Input-MultipleOutput (MIMO) is the major key technique for the future Fifth Generation (5G) of mobile wireless communication network due to its characteristics, elements and advantages. Massive MIMO will be comprised of five major elements; antennas, electronic components, network architectures, protocols and signal processing. We realize that precoding technique is a processing technique that utilizes Channel State Information Technique (CSIT) by operating on the signals before transmitting them. This technique varies base on the type of CSIT and performance criterion. Precoding technique is the last digital processing block at the transmitting side. In this paper, linear and non-linear Precoding technique was reviewed and we proposed two techniques under each that is Minimum Mean Square Error (MMSE), Block Diagonalization (BD), Tomlinson-Harashima (TH) and Dirty paper coding (DPC). Four Precoding techniques: MMSE, BD, DPC and TH were used in the studies to power consumption, energy efficiency and area throughput for single-cell and multi-cell scenarios. In comparing the proposed techniques, in terms of energy efficiency and area throughput, reuse factor (Reuse 4) performs better than other techniques when there is an imperfect CSI is used |
| Author | Ansong, Michael Kwame Kofie, Samuel Nartey Armahy, Abdul Karim Sackey, Samson Hansen |
| Author_xml | – sequence: 1 givenname: Samson Hansen surname: Sackey fullname: Sackey, Samson Hansen organization: College of Internet of Things, Hohai University, Changzhou, 213022, China – sequence: 2 givenname: Michael Kwame surname: Ansong fullname: Ansong, Michael Kwame organization: College of Internet of Things, Hohai University, Changzhou, 213022, China – sequence: 3 givenname: Samuel Nartey surname: Kofie fullname: Kofie, Samuel Nartey organization: College of Internet of Things, Hohai University, Changzhou, 213022, China – sequence: 4 givenname: Abdul Karim surname: Armahy fullname: Armahy, Abdul Karim organization: School of Managerial Engineering, Zhengzhou University, Zhengzhou, 450001, China |
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| Title | Energy Efficient Linear and Non-Linear Precoders for Massive MIMO Systems |
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