Loading algorithms for multicarrier spatial diversity systems employing antenna subset selection

This paper presents two novel loading algorithms for multicarrier systems performing spatial diversity. The algorithms use bit allocation techniques to increase throughput while ensuring the system remains below a specified error rate. One algorithm uses the same signal constellation across all sub-carriers while the other varies the signal constellations. To reduce hardware costs, power consumption, and complexity, the proposed algorithms simultaneously perform antenna subset selection, choosing array configurations that yield further increases in the overall throughput. Our results show that the combination of multiple antennas and bit allocation by the proposed algorithms substantially increases throughput. Furthermore, hardware costs are reduced with a negligible penalty in throughput when antenna subset selection is employed.