NDLI: Non-linear transceiver design for multiple-input–multiple-output interference channel with statistical channel state information error

Content Provider	IET Digital Library
Author	Geng, Xuan An, Bowen Li, Conggai Liu, Feng
Abstract	This study focuses on robust Tomlinson–Harashima precoding transceiver design for multi-cell multiple-input–multiple-output interference channel with statistical channel state information error. The objective is formulated to minimise the maximum per-user mean square error (MSE) with per-transmitter power constraint. Since the problem is not jointly convex, an approximated method is proposed. The authors optimise the receiver matrix to be minimum MSE form as well as derive the optimisation problems of transmitter matrix and feedback matrix to be second-order cone programming, respectively. By use of the results, the three matrices are updated iteratively. The convergence of the proposed method is also proved. Simulation results show that the proposed scheme outperforms the robust linear transceiver in both MSE and bit error ratio.
Starting Page	152
Ending Page	156
Page Count	5
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 2, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0267
Journal	IET Communications
Publisher Date	2017-10-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Code Convergence of Numerical Method Convex Programming Electromagnetic Compatibility Feedback Matrix Interference Interpolation And Function Approximation Iterative Method Linear Algebra Matrix Algebra Maximum Per-user Mean Square Error Minimisation Mean Square Error Method MIMO Communication MSE Multicell Multiple-input-multiple-output Interference Channel Nonlinear Transceiver Design Numerical Analysis Optimisation Technique Per-transmitter Power Constraint Precoding Radio Frequency Interference Radio Link And Equipment Radio Transceivers Receiver Matrix Optimisation Robust Tomlinson-Harashima Precoding Transceiver Design Second-order Cone Programming Statistical Channel State Information Error Transmitter Matrix Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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

How to understand linear minimum mean-square-error transceiver design for multiple-input–multiple-output systems from quadratic matrix programming

Statistically robust transceiver design algorithms for relay aided multiple-input multiple-output interference systems

Robust THP transceiver designs for multiuser MIMO downlink

Tomlinson-Harashima Precoding for Multiuser MIMO Downlink with Imperfect Channel State Information

0Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

0Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

Non-linear Transceiver Designs with Imperfect CSIT Using Convex Optimization

Achievable Rates for Tomlinson-Harashima Precoding (1998)

Min–max mean squared error-based linear transceiver design for multiple-input–multiple-output interference relay channel

Non-linear transceiver design for multiple-input–multiple-output interference channel with statistical channel state information error

Similar Documents

How to understand linear minimum mean-square-error transceiver design for multiple-input–multiple-output systems from quadratic matrix programming

Statistically robust transceiver design algorithms for relay aided multiple-input multiple-output interference systems

Robust THP transceiver designs for multiuser MIMO downlink

Tomlinson-Harashima Precoding for Multiuser MIMO Downlink with Imperfect Channel State Information

0Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

0Analysis and Design of Tomlinson-Harashima Precoding for Multiuser MIMO Systems

Non-linear Transceiver Designs with Imperfect CSIT Using Convex Optimization

Achievable Rates for Tomlinson-Harashima Precoding (1998)

Min–max mean squared error-based linear transceiver design for multiple-input–multiple-output interference relay channel

Non-linear transceiver design for multiple-input–multiple-output interference channel with statistical channel state information error