A hybrid-statistical approach for accurate characterization of MEMS on complex platforms

Efficient Capacity-Based Antenna Selection for MIMO Systems

“…To generalize this result, let represent the covariance matrix or , depending on whether we are applying the algorithm for transmit or receive antenna selection, respectively. A signal that has high average power but has low MI with the already selected signals will have a large value of the ratio of to in (5) or (6) Note that (6) is simply the variance of the signal on the th element conditioned on the signals on the already selected elements. If these selected signals are fixed and the signal on the element under investigation is highly correlated to the selected antennas, then this variance will be low, suggesting that the th antenna will provide little additional information beyond what can be obtained from the already selected antennas.…”

“…However, this capacity depends on the antenna configuration [4]; therefore, maximizing the system throughput may require that this configuration adapt to changing propagation conditions. One mechanism for accomplishing this adaptation is to fabricate large arrays and use switching networks to dynamically connect different subsets of the elements to a smaller number of transmit and receive modules [5], [6]. To make this approach practical, however, efficient and effective methods for choosing the appropriate antenna element subset are required.…”