abstract

• Multiple-input Multiple-output (MIMO) systems are an attractive choice to enhance the communication performance by increasing the number of antennas at transmitter and receiver. However, the physical implementation of MIMO systems has several issues such as high cost and high computational complexity for large antenna arrays. Additionally, due to space limitations, huge MIMO systems cannot be implemented in small devices. Hence, antenna selection techniques emerge as a solution to maintain the benefits of MIMO with an affordable trade-off between complexity and implementation cost. Besides, cooperative wireless sensor networks (WSN) may consider virtual MIMO systems. Thus, in this paper, we propose an antenna selection algorithm called Antenna Adaptive Selection of Information (ASSI) for being implemented on WSN. AASI adapts the transmission information according to channel characteristics. Our algorithm achieves affordable results in performance and capacity close to the optimal antenna selection for a specific signal-to-noise ratio with a reduced computational complexity. © 2018 IEEE.

authors

• Aguilar-Gonzalez R.
• Cárdenas Juárez Marco Aurelio
• Pineda Rico Ulises
• Prieto-Guerrero A.
• Ramos V.
• Stevens Navarro Enrique

publication date

• 2018-01-01

published in

• Canadian Conference on Electrical and Computer Engineering  Proceedings

keywords

• Antenna arrays; Complex networks; Computational complexity; Economic and social effects; Signal to noise ratio; Wireless sensor networks; Adaptive selection; Antenna selection algorithms; Antenna selection techniques; Channel characteristics; Communication performance; Cooperative sensor networks; Implementation cost; Transmitter and receiver; MIMO systems

Digital Object Identifier (DOI)

• 10.1109/CCECE.2018.8447673

start page

end page

volume

• 2018-May