Deployment Strategy for Indoor Distributed MIMO System

The physical placement of antennas is a design factor for Distributed Multiple-Input Multiple-Output (D-MIMO) systems, but finding the optimal layout is a computationally intensive, non-convex problem. Prior research often addresses this by directly optimizing the coordinates of each distributed panels using complex numerical techniques, such as convex relaxation or iterative algorithms. While viable, these methods can be computationally demanding and offer limited insight into the structural properties of optimal deployments. In contrast, this paper introduces a structured, parametric optimization framework. We constrain the panel deployment to a lattice, reducing the high-dimensional problem to optimizing a few parameters that define the lattice's overall scale and shape. Through numerical simulations, our method is shown to perform nearly indistinguishable from that achieved by a highly complex benchmark, while it outperforms standard approaches like Majorization-Minimizing-Lloyd's algorithm (MM-Lloyd). Furthermore, we identify that a simple, non-optimized, evenly spaced grid can achieve 96% of the benchmark's performance, offering a highly efficient and practical heuristic.