Joint Relay/Antenna Selection and Precoding Design for Two-Way MIMO Amplify-and-Forward Relaying Systems
| Autor: | Guan-Fu Liu, Chia-Chang Hu, Bo-Hung Chen |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Computer Networks and Communications MIMO Aerospace Engineering Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Precoding law.invention 0203 mechanical engineering Control theory Relay law Singular value decomposition Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Electronic engineering Fading Electrical and Electronic Engineering Computer Science::Information Theory business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications 020302 automobile design & engineering Automotive Engineering Bit error rate Transceiver Antenna (radio) business |
| Zdroj: | IEEE Transactions on Vehicular Technology. 65:4854-4864 |
| ISSN: | 1939-9359 0018-9545 |
| DOI: | 10.1109/tvt.2015.2469727 |
| Popis: | In this paper, a unified framework of relay/antenna subset selection and transceiver design is proposed for a dual-hop two-way amplify-and-forward (AF) multiple-input–multiple-output (MIMO) relaying system in correlated fading channels. By making use of the singular value decomposition (SVD) technique, the joint design of two-source transceivers and multirelay precoders is developed based on the minimum-mean-square-error (MMSE) criterion. This MMSE-based optimization leads to a highly nonlinear objective function of sources and relaying precoders under power constraints so that an iterative search algorithm is applied to explore the optimal power allocation. Simulation results show that the SVD-based joint design of relay and source precoders, in conjunction with the SVD-based relay-and-antenna selection scheme, is capable of achieving superior performance in terms of bit error rate (BER) with an alleviated demand on relays and associated antenna pairs. |
| Databáze: | OpenAIRE |
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