TY - GEN
T1 - Improving Throughput for Mobile Receivers Using Adaptive Beamforming
AU - Kaur, Jaspreet
AU - Popoola, Olaoluwa R.
AU - Ali Imran, Muhammed
AU - Abbasi, Qammer H.
AU - Abbas, Hasan T.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In anticipation of a rapid increase in wireless communication, MIMO is one key technology to be explored for 5G. Conventional approaches are unable to predict many of the key characteristics for MIMO channels, and more detailed methods suffer from significant computational complexity due to the number of antennas in a MIMO array. In this work, the beamforming performance for moving users in a large cell with effective channel throughput has been explored. The Glasgow University campus model is used to estimate channel properties when various beamforming techniques are implemented. The techniques explored are Maximum Ratio Transmission (MRT) (for transmitter), Equal Gain Combining (EGC), Selection Combining (SC), and Max Ratio Combining (MRC) (for receiver) beamforming in 3GPP Long Term Evolution (LTE). Throughput, received signal strength, and signal to noise interference ratio (SINR) are determined. By implementing the beamforming techniques, on average, we are able to improve the throughput from 9 Mbps to 14 Mbps. The best throughput/SINR has been observed with MRT-MRC in comparison to No-beamforming.
AB - In anticipation of a rapid increase in wireless communication, MIMO is one key technology to be explored for 5G. Conventional approaches are unable to predict many of the key characteristics for MIMO channels, and more detailed methods suffer from significant computational complexity due to the number of antennas in a MIMO array. In this work, the beamforming performance for moving users in a large cell with effective channel throughput has been explored. The Glasgow University campus model is used to estimate channel properties when various beamforming techniques are implemented. The techniques explored are Maximum Ratio Transmission (MRT) (for transmitter), Equal Gain Combining (EGC), Selection Combining (SC), and Max Ratio Combining (MRC) (for receiver) beamforming in 3GPP Long Term Evolution (LTE). Throughput, received signal strength, and signal to noise interference ratio (SINR) are determined. By implementing the beamforming techniques, on average, we are able to improve the throughput from 9 Mbps to 14 Mbps. The best throughput/SINR has been observed with MRT-MRC in comparison to No-beamforming.
KW - Beamforming
KW - Equal Gain Combining (EGC)
KW - MIMO
KW - Maximum Ratio Transmission (MRT)
KW - Selection Combining (SC)
KW - and Max Ratio Combining (MRC)
UR - https://www.scopus.com/pages/publications/85125302609
U2 - 10.1109/ICMAC54080.2021.9678216
DO - 10.1109/ICMAC54080.2021.9678216
M3 - Conference contribution
AN - SCOPUS:85125302609
T3 - 2021 1st International Conference on Microwave, Antennas and Circuits, ICMAC 2021
BT - 2021 1st International Conference on Microwave, Antennas and Circuits, ICMAC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Microwave, Antennas and Circuits, ICMAC 2021
Y2 - 21 December 2021 through 22 December 2021
ER -