AI SearchOptimal transmit antenna selection and beamforming for massive MIMO communications
Subedi, Prakash
Optimal transmit antenna selection and beamforming for massive MIMO communications - Pathum Thani, Thailand : Asian Institute of Technology, 2015 - 31 leaves : ill. + 1 online resource - Caps. Proj. ; no. TC-15-01 . - Asian Institute of Technology. Caps. Proj. ; no. TC-15-01 .
A capstone project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Telecommunications Engineering, School of Engineering and Technology
Capstone Project (B. Sc.) - Asian Institute of Technology, 2015
Massive multiple-input multiple-output (MIMO) is a rising technology that uses a huge number of antennas and is envisioned to provide large network capabilities. This has made massive MIMO a very hot topic of research in wireless communication in recent years. Nevertheless, higher numbers of antennas reqiure higher numbers of radio-frequency (RF) elements which significantly increase the cost and hardware complexities. Antenna selection is a solution for reducing RF chains; however, optimal antenna selection is challenge. This paper proposes a low complexity method for joint selection of the best subset of transmit antenna and beamforming. Another important parameter to be considered for massive MIMO is energy efficiency. Hence, we present a way of joint antenna selection and beamforming with maximal energy efficiency. In addition, we also show which beamforming schemes is the best and performs closest to the optimal beamforming in massive MIMO
Wireless communication systems
Antenna arrays
Optimal transmit antenna selection and beamforming for massive MIMO communications - Pathum Thani, Thailand : Asian Institute of Technology, 2015 - 31 leaves : ill. + 1 online resource - Caps. Proj. ; no. TC-15-01 . - Asian Institute of Technology. Caps. Proj. ; no. TC-15-01 .
A capstone project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Telecommunications Engineering, School of Engineering and Technology
Capstone Project (B. Sc.) - Asian Institute of Technology, 2015
Massive multiple-input multiple-output (MIMO) is a rising technology that uses a huge number of antennas and is envisioned to provide large network capabilities. This has made massive MIMO a very hot topic of research in wireless communication in recent years. Nevertheless, higher numbers of antennas reqiure higher numbers of radio-frequency (RF) elements which significantly increase the cost and hardware complexities. Antenna selection is a solution for reducing RF chains; however, optimal antenna selection is challenge. This paper proposes a low complexity method for joint selection of the best subset of transmit antenna and beamforming. Another important parameter to be considered for massive MIMO is energy efficiency. Hence, we present a way of joint antenna selection and beamforming with maximal energy efficiency. In addition, we also show which beamforming schemes is the best and performs closest to the optimal beamforming in massive MIMO
Wireless communication systems
Antenna arrays