Performance analysis and power allocation of mixed-ADC multi-cell millimeter-wave massive MIMO systems with antenna selection

2021 ◽  
Vol 22 (4) ◽  
pp. 571-585
Author(s):  
Tao Zhou ◽  
Guichao Chen ◽  
Cheng-xiang Wang ◽  
Jiayi Zhang ◽  
Liu Liu ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Power Allocation ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Antenna Selection

Performance Analysis of Different Hybrid Precoding Schemes in 5G mmWave massive MIMO Systems

2021 ◽  
Vol 11 (09) ◽  
pp. 1696-1700
Author(s):  
Md. Mizanul Hoque ◽  
Md. Masud Karim ◽  
Md. Mustafa Kamal ◽  
Md. Kayesh ◽  
Sawkat Osman
Keyword(s):  
Energy Consumption ◽  
Performance Analysis ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Cellular Communication ◽  
Low Energy ◽  
System Complexity ◽  
Hybrid Precoding ◽  
Energy Consuming

Millimeter-wave (mmWave) communication is most likely to appear as a aspiring technology in the upcoming generation of cellular communication (5G). To confront several challenges (e.g., system complexity, energy consumption etc.), hybrid precoding is largely investigated in mmWave massive MIMO systems due to its low energy consuming nature and reduced system complexity.

Cell-Edge-Aware Antenna Selection and Power Allocation in Massive MIMO Systems

2019 ◽  
Author(s):  
Zaid Abdullah ◽  
Charalampos C. Tsimenidis ◽  
Mahmoud Alageli ◽  
Martin Johnston ◽  
Gaojie Chen ◽  
...  
Keyword(s):  
Power Allocation ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Cell Edge

scholarly journals Performance Analysis of Multiple Antenna Systems with New Capacity Improvement Algorithm for MIMO Based 4G/5G Systems

2021 ◽  
Author(s):  
Vinodh Kumar Minchula ◽  
Gottapu Sasibhushana Rao
Keyword(s):  
Performance Analysis ◽  
Power Allocation ◽  
Channel Capacity ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Singular Values ◽  
Channel State ◽  
Transmission Strategy ◽  
Adaptive Power ◽  
Antenna Systems

For a time varying channel, the channel capacity is determined by the Channel State Information (CSI) or its fading distribution at a transmitter or receiver. If CSI is perfectly known at both the transmitter and receiver, then the transmitter can adapt to its optimal transmission strategy (i.e., optimal antenna selection by power allocation scheme) relative to its instantaneous channel state for capacity enhancement. In the case where the channel information is not available at the transmitter (No CSIT), the transmitted power has to be distributed equally (i.e., uniform power allocation) between the transmitting antennas to improve the channel capacity. The IWFA (Iterative water filling allocation) strategy therefore allocates power to those spatial channels with positive non-zero singular values i.e. good quality channels and discards the lower eigenmodes channels resulting in maximum capacity in MIMO systems for perfect CSIT. In this chapter, the performance analysis of Multi Antenna systems under ICSIT/ICSIR, Perfect CSIT, No CSIT channel conditions have been implemented and a novel adaptive power allocation algorithm (SVD-based IWFAA) is considered to improve the spectral efficiency of next generation wireless MIMO communication (4G–5G). The algorithm considered is more efficient at high noise levels (low SNRs) under Perfect CSIT conditions because the strongest channel eigenmodes are allocated more power.

Joint transmit antenna selection and precoding for millimeter wave massive MIMO systems

2020 ◽  
Vol 42 ◽  
pp. 101137 ◽  
Author(s):  
Salman Khalid ◽  
Rashid Mehmood ◽  
Waqas Bin Abbas ◽  
Farhan Khalid ◽  
Muhammad Naeem
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Transmit Antenna Selection
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