Antenna Subset Selection with Bit Allocation for Multicarrier Spatial Diversity Transceivers

In this paper, two novel algorithms are presented that simultaneously perform bit allocation and antenna subset selection for multicarrier spatial diversity transceivers. The goal of the bit allocation is to increase overall system throughput while ensuring that the system remains below a specified error rate. One of the proposed algorithms uses the same signal constellation across all subcarriers, while the other varies the signal constellation. To reduce hardware costs, power consumption, and complexity, the proposed algorithms also employ antenna subset selection and a reduced set of radio frequency (RF) chains. However, unlike previously published algorithms, the proposed algorithms choose array configurations that vary across the subcarriers, yielding even further increases in the overall throughput. The results show that the proposed algorithms employing both multiple antennas and bit allocation will increase the overall throughput of the system. Furthermore, the reduced hardware costs due to a smaller number of RF chains is achieved with a negligible throughput penalty.