NDLI: The noisy MIMO interference channel with distributed CSI acquisition and filter computation

Content Provider	IEEE Xplore Digital Library
Author	Negro, F. Salim, U. Ghauri, I. Slock, D.T.M.
Copyright Year	2011
Description	Author affiliation: Mobile Communications Department, EURECOM, 2229 Route des Crêtes, BP 193, 06904 Sophia Antipolis Cedex, France (Negro, F.; Slock, D.T.M.) \|\| Intel Mobile Communications, GAIA, 2600 Route des Crêtes, 06560 Sophia Antipolis Cedex, France (Salim, U.; Ghauri, I.)
Abstract	We study the frequency-flat noisy MIMO interference channel (IFC) without symbol extension and with initial assumption of no channel state information (CSI) neither at the base stations (BS) nor at the user equipments (UE). In the noisy IFC, interference is treated as noise and hence linear transmit (Tx) and receive (Rx) filtering is considered. A transmission strategy is proposed through which the BS and the UE get the necessary CSI for CSI based transmit and receive processing, by channel training and analog channel feedback, leading to transmission overhead. Both FDD and TDD scenarios are considered (the details for which are not too different in this distributed approach). In the limited overhead approach considered, discrepancies arise between the local estimates of the global CSI established at the various Tx/Rx units, on the basis of which the local Tx/Rx filters are computed. These filters are computed by optimizing a lower bound (and close approximation) of the weighted sum rate, accounting for partial CSI. The approach allows for simple approximate sum rate expressions that can easily be optimized for any set of system parameters to unveil the trade-off between the cost and the gains associated to CSI acquisition overhead. A centralized approach is briefly discussed also.
Starting Page	646
Ending Page	650
File Size	244105
Page Count	5
File Format	PDF
ISBN	9781467303217
ISSN	10586393
e-ISBN	9781467303231
DOI	10.1109/ACSSC.2011.6190082
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation Training MIMO Interference channels Signal to noise ratio Transmitters
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

On the noisy MIMO interference channel with CSI through analog feedback

MIMO interference alignment in random access networks

Overhead-aware distributed CSI selection in the MIMO interference channel

Optimizing training and feedback for MIMO interference alignment

MIMO Z-interference channels: Capacity under strong and noisy interference

Interference alignment with analog CSI feedback

MIMO interference channel with confidential messages: Game theoretic beamforming designs

Instantaneous degrees of freedom of downlink interference channels with multiuser diversity

Performance of Iterative Interference Alignment with Imperfect CSI

The noisy MIMO interference channel with distributed CSI acquisition and filter computation

Similar Documents

On the noisy MIMO interference channel with CSI through analog feedback

MIMO interference alignment in random access networks

Overhead-aware distributed CSI selection in the MIMO interference channel

Optimizing training and feedback for MIMO interference alignment

MIMO Z-interference channels: Capacity under strong and noisy interference

Interference alignment with analog CSI feedback

MIMO interference channel with confidential messages: Game theoretic beamforming designs

Instantaneous degrees of freedom of downlink interference channels with multiuser diversity

Performance of Iterative Interference Alignment with Imperfect CSI

The noisy MIMO interference channel with distributed CSI acquisition and filter computation