A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels

By M. Sadek, Alireza Tarighat, Ali H. Sayed. IEEE Transactions on Wireless Communications, 2007

901 citations recorded by the source corpus.

In multiuser MIMO downlink communications, it is necessary to design precoding schemes that are able to suppress co-channel interference. This paper proposes designing precoders by maximizing the so-called signal-to-leakage-and-noise ratio (SLNR) for all users simultaneously. The presentation considers communications with both single- and multi-stream cases, as well as MIMO systems that employ Alamouti coding. The effect of channel estimation errors on system performance is also studied. Compared with zero-forcing solutions, the proposed method does not impose a condition on the relation between the number of transmit and receive antennas, and it also avoids noise enhancement. Simulations illustrate the performance of the scheme

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/06f97494380ce5880aa2a9e0216cb37e3cd1ec74

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

In Electrical and Electronic Engineering

Citations in the corpus

Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “This expression is slightly different from the original definition in [221, 259], where the noise powers are handled inconsistently.”
Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes] (2014, background): “ion to the undesired contributions is maximized”. Due to the relationship to receive beamforming, this scheme is also known as transmit Wiener ﬁlter [9], signal-to-leakage-and-noise ratio beamforming [12], transmit MMSE beamforming, and virtual SINR beamforming; see Remark 3.2 in [7] for a further h”
Massive MIMO Transmission for LEO Satellite Communications (2020, background): “In particular, the SLNR of UT k in the DL is given by [34], [35] where ρ dl k q dl k /σ dl k is the DL signal-to-noise ratio (SNR) of UT k .”