Fast Optimal Antenna Selection for Massive MIMO
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)(2023)
Abstract
This paper investigates the optimal antenna selection problem for very large-scale multiple-input multiple-output (MIMO) systems. The problem is NP-hard, and solving it optimally requires exponential computation time, which limits its application in very large MIMO systems. In order to develop a feasible optimal method and help evaluate the performance gap of low-complexity algorithms in the scenarios of our interests, we start by proposing a new objective function, which reformulates the original problem into a shortest path finding. By combining the best-first search strategy, we further develop an efficient pruning algorithm, namely BFS-AS, for finding the optimal antenna combination. Our simulation results show that the proposed BFS-AS not only achieves the exact optimal performance, but also has a fixed space complexity and a much lower average time complexity with comparison to the existing optimal performance achieving approaches.
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Key words
Antenna selection,massive MIMO,best-first search,branch-and-bound
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