Ergodic mutual information of full-duplex MIMO radios with residual self-interference
|dc.identifier.citation||Cirik, Ali Cagatay and Rong, Yue and Hua, Yingbo. 2013. Ergodic mutual information of full-duplex MIMO radios with residual self-interference, in Proceedings of the 47th Annual Asilomar Conference on Signals, Systems, and Computers, Nov 3-6 2013. Pacific Grove, California: IEEE Signal Processing Society.|
We study the theoretical performance of a full duplex multiple-input multiple-output (MIMO) bi-directional communication system. We focus on the effect of the residual self-interference due to channel estimation errors and transmitter impairments. We assume that the instantaneous channel state information (CSI) at the transmitting nodes is not known and the CSI at the receiving nodes is imperfect. To maximize the system ergodic mutual information, which is a non-convex function of power allocation vectors at the nodes, a gradient projection (GP) algorithm is developed to optimize the power allocation vectors. This algorithm exploits both spatial and temporal freedoms of the source covariance matrices of the MIMO links between the nodes to achieve higher sum ergodic mutual information. It is observed through the simulations that the algorithm reduces to a full-duplex scheme when the nominal residual self-interference is low, or to a half-duplex scheme when the nominal residual self-interference is high.
|dc.title||Ergodic mutual information of full-duplex MIMO radios with residual self-interference|
|dcterms.source.title||Proceedings of the 47th Annual Asilomar Conference on Signals, Systems, and Computers|
|dcterms.source.series||Proceedings of the 47th Annual Asilomar Conference on Signals, Systems, and Computers|
|dcterms.source.conference||The 47th Annual Asilomar Conference on Signals, Systems, and Computers|
|dcterms.source.conference-start-date||Nov 3 2013|
|dcterms.source.conferencelocation||Pacific Grove, California, USA|
|dcterms.source.place||Piscataway, NJ, USA|
Copyright © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.