Achieving near-capacity on a multiple-antenna channel
By Bertrand M. Hochwald, Stephan ten Brink. IEEE Transactions on Communications, 2003
2,172 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/c82f9149012261707f4afa13b1695d6f4ce6dde9
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
- Lajos Hanzo
- Rui Zhang
- Shaoshi Yang
- Giuseppe Caire
- John S. Thompson
- Georgios B. Giannakis
- Geoffrey Y. Li
- Hesham El Gamal
In Electrical and Electronic Engineering
- Lajos Hanzo
- Rui Zhang
- Shaoshi Yang
- Georgios B. Giannakis
- A. L. Swindlehurst
- Giuseppe Caire
- Geoffrey Y. Li
- Ying-Chang Liang
Citations in the corpus
- Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, background): “Yet another important contribution to IDD design is the extrinsic information transfer (EXIT) chart invented by ten Brink [565], [566], which is a powerful tool conceived not only for analyzing the convergence behavior of iterative receivers, but also for assisting nearcapacity wireless system desig”
- A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation (2005, methodology): “Generally, the sphere encoder works on real lattices, so we assume that a complex version is used [16], or that (8) has been converted to a -dimensional real lattice problem.”
- ASIC Implementation of Soft-Input Soft-Output MIMO Detection Using MMSE Parallel Interference Cancellation (2011, methodology): “However, it was demonstrated in [11] that the full poten-”
- Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks (2007, background): “, [25]) are applied to decode the whole codeword.”
- Algorithm and implementation of the K-best sphere decoding for MIMO detection (2006, methodology): “A possible choice of the radius is , where is chosen to guarantee that the true lattice point can be captured [6].”
- Bit-Interleaved Coded Modulation (2008, methodology): “The design of efficient BICM space-time codes has been studied in a number of works [17,20,21,42,43,47,52,80,81,85,123].”
- Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations (2014, background): “, based on the algorithms in [17], [49]) that require low computational complexity for large-dimensional antenna configurations and for SC-FDMA is a challenging open research problem.”
- Channel Estimation for OFDM (2014, methodology): “The LSD can be considered as the soft output version of the sphere detector introduced in [159] and [160].”
- Space-time diversity systems based on linear constellation precoding (2003, background): “However, the recently proposed complex sphere decoder in [ 15 ] does not double the size of the search lattice vector, thus reducing the complexity.”
- Soft-output sphere decoding: algorithms and VLSI implementation (2008, methodology): “In the case of the LSD, changing the list size allows to adjust the complexity/performance trade-off.”
- VLSI implementation of MIMO detection using the sphere decoding algorithm (2005, methodology): “Instead, we describe two methods to operate directly on the complex constellations using an exhaustive search or a low-complexity refinement of a scheme proposed in [1].”
- On maximum-likelihood detection and the search for the closest lattice point (2003, methodology): “The resulting soft-output detector forms the core of some iterative decoders based on Belief- Propagation (see for example [27], [28], [29], [30], [31]).”
- Fixing the Complexity of the Sphere Decoder for MIMO Detection (2008, methodology): “3) Finally, the FSD concept can also be applied to the cases where an outer code is used in the MIMO system (Turbo-MIMO systems [13]).”
- MIMO transmission with residual transmit-RF impairments (2010, methodology): “Similar to ML detection, the corresponding detection rule is usually formulated for the idealistic input-output relation (1) and uses the max-log approximation to obtain [19]”