On the Capacity of Pixel Antenna based MIMO Communication
Shenrui Lin, Shuowen Zhang

TL;DR
This paper investigates the capacity limits of pixel antenna-based MIMO systems, proposing algorithms to optimize antenna configurations and demonstrating potential for increased data rates in wireless communication.
Contribution
It introduces novel algorithms for optimizing pixel antenna configurations in MIMO systems and characterizes the fundamental capacity limits of such systems.
Findings
Algorithms achieve a trade-off between performance and complexity.
Pixel antennas can significantly enhance MIMO data rates.
Proposed methods outperform exhaustive search in large systems.
Abstract
Pixel antenna is a promising technology to enhance the wireless communication data rate by adaptively reconfiguring each antenna's radiation pattern via a so-called antenna coding technique which controls the states of switches connected to multiple pixel ports. This paper studies a multiple-input multiple-output (MIMO) system where both the transmitter and the receiver are equipped with multiple pixel antennas. We aim to characterize the fundamental capacity limit of this MIMO system by jointly optimizing the transmit covariance matrix and the antenna coders at both the transmitter and the receiver. This problem is a mixed-integer non-linear program (MINLP) which is non-convex and particularly challenging to solve due to the binary-valued optimization variables corresponding to the antenna coders. We first propose an exhaustive search based method to obtain the optimal solution to this…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling
