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AuthorWagdy, Ahmed
AuthorKhattab, Tamer
AuthorSourour, Essam A.
Available date2022-11-01T09:01:31Z
Publication Date2013
Publication Name2013 7th IEEE GCC Conference and Exhibition, GCC 2013
ResourceScopus
Resource2-s2.0-84893595362
URIhttp://dx.doi.org/10.1109/IEEEGCC.2013.6705756
URIhttp://hdl.handle.net/10576/35679
AbstractLimited feedback closed-loop spatial multiplexing evolved as an attractive technique during the development of Multi Input Multi Output (MIMO) in Long Term Evolution (LTE). Spatial multiplexing involves transmitting independent streams of data across multiple antennas to maximize throughput. Closed-loop spatial multiplexing adapt the system to the current channel state throughout a limited feedback channel. In This scheme precoding matrix selection is performed by the user equipment (UE) while applying the selected matrix by the transmitter. In this paper, we propose a new algorithm for precoding matrix selection, based on QR decomposition and minimum mean square error (MMSE), which has an attractive performance and computational complexity gain, so it can be used to efficiently select precoding matrix at UE side. A review over the existent selection techniques is introduced. Also we provide a comparison between the performance of the proposed techniques and the ones in the review in terms of bit error rate (BER) and computational complexity. 2013 IEEE.
Languageen
SubjectMaximize throughput
Minimum mean square errors (MMSE)
Multi input multi output
Multiple antenna
Precoding matrix
Q R decomposition
Selection techniques
Spatial multiplexing
Computational complexity
Exhibitions
Feedback
Mobile telecommunication systems
Signal receivers
Multiplexing
TitleModified QR-D and MMSE PMI selection technique for MIMO closed loop spatial multiplexing in LTE/LTE-advanced
TypeConference Paper
Pagination93-97
dc.accessType Abstract Only


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