MIMO capacity with interference
By Rick S. Blum. IEEE J. Sel. Areas Commun., 2003
452 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/63a2c6d7cb0e6d83c05c8ab1777d3356e39e8a8e
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
- Antonia Maria Tulino
- Jeffrey G. Andrews
- Moe Z. Win
- Sergio Verdú
- David Gesbert
- Steven Weber
- Hyundong Shin
In Electrical and Electronic Engineering
- Robert W. Heath
- Jeffrey G. Andrews
- Antonia Maria Tulino
- Moe Z. Win
- Sergio Verdú
- Hyundong Shin
- David Gesbert
- Wan Choi
Citations in the corpus
- Optimized signaling for MIMO interference systems with feedback (2003, background): “The capacity of MIMO interference systems wi thout feedback was treated in [12], and it was proved that putting all power into one antenna is the optimum signaling when the interference is sufficiently strong.”
- MIMO Networks: The Effects of Interference (2008, methodology): “study in [11], [12] adopts simulation to evaluate the capacity of MIMO systems in the presence of co-channel interference, and”
- Transmission capacity of ad hoc networks with spatial diversity (2007, methodology): “For example, [20] uses a game-theoretic analysis to show that capacity is maximized for mutually interfering sources when each sends only one datastream, while [21] and [22] suggest capacity is improved through spatially multiplexing potentially multiple transmissions; however, [21] again focuses on”
- From theory to practice: an overview of MIMO space-time coded wireless systems (2003, background): “account the effects of interference from either an information theory point of view [16], [17] or a signal processing and system efficiency point of view [18], [19] to cite just a few example of contributions, and is not treated here.”
- Overcoming interference in spatial multiplexing MIMO cellular networks (2007, background): “In view of this, it is not surprising that recent research on spatial multiplexing in cellular systems has reached the common conclusion that adding active transmit antennas or data streams at each base station can actually decrease the throughput at low SINR due to the increased dimensionality of s”
- Random Matrix Theory and Wireless Communications (2004, background): “The impact of colored interference on the capacity has been studied asymptotically in [163, 181, 51], and non-asymptotically in [28, 138].”