Transmit and Receive Antenna Port Selection for Channel Capacity Maximization in Fluid-MIMO Systems
arxiv(2024)
摘要
In this letter, we study a discrete optimization problem, namely, the
maximization of channel capacity in fluid multiple-input multiple-output
(fluid-MIMO) systems through the selection of antenna ports/positions at the
transmitter and the receiver. First, we present a new joint convex relaxation
(JCR) problem by using an upper bound on the channel capacity and exploiting
the binary nature of optimization variables. Then, we develop and analyze two
optimization algorithms with different performance-complexity tradeoffs: the
first is based on JCR and reduced exhaustive search (JCR RES), while the second
on JCR and alternating optimization (JCR AO). Finally, numerical results show
that the proposed algorithms significantly outperform two baseline schemes, the
random port selection and the conventional MIMO setup.
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