Capacity of MIMO systems with antenna selection
By Andreas F. Molisch, Moe Z. Win, Jack H. Winters. IEEE Transactions on Wireless Communications, 2001
665 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a796f9ca6199074e953819d3949b3354da25e73d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Robert W. Heath
- Andreas F. Molisch
- D. J. Love
- Moe Z. Win
- Arogyaswami Paulraj
- David Gesbert
- Dhananjay Gore
- Bhaskar D. Rao
In Electrical and Electronic Engineering
- Robert W. Heath
- Andreas F. Molisch
- Moe Z. Win
- D. J. Love
- Arogyaswami Paulraj
- David Gesbert
- Rui Zhang
- Ahmed Alkhateeb
Citations in the corpus
- MIMO systems with antenna selection (2004, background): “Spatial Multiplexing For spatial multiplexing, different data streams are transmitted from the different antenna elements; in the following, we consider the case where the transmitter (TX), which has no channel knowledge, uses all antennas, while the receiver uses antenna selection [15].”
- Multimode antenna selection for spatial multiplexing systems with linear receivers (2005, background): “Thus, as mentioned before, this framework includes antenna subset selection as a special case [7], [8], [30]–[32], [34] but is even more general.”
- A review of antennas and propagation for MIMO wireless communications (2004, background): “Studies have shown that an intelligently-selected sub-array can provide improved capacity [118]–[122] or lower probability of symbol error [123] relative to the performance”
- Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection (2005, methodology): “When multiple signal streams are allowed for transmission in the system, antenna selection schemes and capacity bound analysis are provided in [18] and [19]; when concatenated with simple linear space-time receivers, the optimum antenna selection algorithms based on various criteria have also been d”
- Integrating Compact Printed Antennas Onto Small Diversity/MIMO Terminals (2008, methodology): “them at each time the optimum N antenna subset using selection algorithms [41].”
- Transceiver optimization for multiuser MIMO systems (2004, background): “819988 Capacity of MIMO systems with antenna selection has been studied recently [8], [9].”
- An overview of limited feedback in wireless communication systems (2008, background): “The capacity with antenna subset selection was ana lyzed in [41], [214].”
- Fast antenna subset selection in MIMO systems (2004, methodology): “Then, for any , the capacity of the MIMO channel in (1) is given by [2], [22] det (5) det (6) where denotes the identity matrix, det is the matrix determinant, and stands for the Hermitian transpose.”
- Receive antenna selection for MIMO spatial multiplexing: theory and algorithms (2003, background): “The first body of work [9], [ 10 ], [12] discusses antenna subset selection for maximizing the channel capacity.”
- Limited feedback unitary precoding for spatial multiplexing systems (2005, background): “As well, antenna subset selection can be viewed as an important example of limited feedback precoding where the optimal subset of transmit antennas is computed and conveyed to the transmitter (see, for example, [12], [15], [17], [26]–[28]).”