1 / 17

RCI-BC

“ Space-Time Processing for Tactical Mobile Ad-Hoc Networks” MURI Project Review, 10/16/08 Concluding Remarks James Zeidler, UCSD. Regularized Channel (Distribution) Inversion RC(D)I in Multi-User MIMO Channels J. Zeidler, UCSD and M. Jensen, BYU.

kaethe
Download Presentation

RCI-BC

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. “Space-Time Processing for Tactical Mobile Ad-Hoc Networks”MURI Project Review, 10/16/08Concluding RemarksJames Zeidler, UCSD

  2. Regularized Channel (Distribution) Inversion RC(D)I in Multi-User MIMO ChannelsJ. Zeidler, UCSD and M. Jensen, BYU Goal: Derive linear preprocessing methods that maximize either the instantaneous sum-rate (using CSI) or the average sum-rate (using CDI) in broadcast (BC), multi-access (MAC), and hybrid MIMO channels Method: Extend pre-existing beamforming technique (RCI) to MAC and hybrid channels and utilize channel distribution statistics to derive new RCDI beamformers for BC, MAC and hybrid MANET channels RCI-BC RCDI-BC Motivation: Linear processing such as regularized channel inversion (RCI) provides simplicity for MANET links of multiple transmitters and receivers. RCDI-MAC RCI-MAC algorithmic extension dual mapping Rate loss of optimal CSI linear and nonlinear precoders Stability of CDI-based beamforming

More Related