Matrix analysis
Elements of information theory
Elements of information theory
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
MIMO Channel Characterization for Short Range Fixed Wireless Propagation Environments
Wireless Personal Communications: An International Journal
Selecting an optimal set of transmit antennas for a low rank matrix channel
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
MIMO antenna subset selection with space-time coding
IEEE Transactions on Signal Processing
Redundant filterbank precoders and equalizers. I. Unification andoptimal designs
IEEE Transactions on Signal Processing
Reduced-complexity transmit/receive-diversity systems
IEEE Transactions on Signal Processing
Characterizing the statistical properties of mutual information in MIMO channels
IEEE Transactions on Signal Processing
Receive antenna selection for MIMO spatial multiplexing: theory and algorithms
IEEE Transactions on Signal Processing
Optimal designs for space-time linear precoders and decoders
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection
IEEE Transactions on Signal Processing
Fast antenna subset selection in MIMO systems
IEEE Transactions on Signal Processing
Selecting array configurations for MIMO systems: an evolutionary computation approach
IEEE Transactions on Wireless Communications
Capacity of MIMO systems with antenna selection
IEEE Transactions on Wireless Communications
Adaptive Antenna Subarray Formation for MIMO Systems
IEEE Transactions on Wireless Communications
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Antenna subarray formation is a novel RF preprocessing technique that reduces the hardware complexity of MIMO systems while alleviating the performance degradations of conventional antenna selection schemes. With this method, each RF chain is not allocated to a single antenna element, but instead to the complex-weighted and combined response of a subarray of elements. In this paper, we derive tight upper bounds on the ergodic capacity of the proposed technique for Rayleigh i.i.d. channels. Furthermore, we study the capacity performance of an analytical algorithm based on a Frobenius norm criterion when applied to both Rayleigh i.i.d. and measured MIMO channels.