Linear Precoder Design for an AF Two-Way MIMO Relay Node with No Source Node Precoding

In this paper, an amplify-and-forward two-way relay (TWR) precoding is designed with no source node (SN) processing in order to maximize sum rate and concurrently reduce the network latency and signaling overhead. For the arbitrary pre-/postprocessing at the SNs that have N antennas, it is rigorousl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on vehicular technology Jg. 66; H. 11; S. 10526 - 10531
Hauptverfasser: Joung, Jingon, Choi, Jihoon
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Amplify-and-forward relay
Antennas
Complexity
Complexity theory
Mathematical analysis
Matrix methods
MIMO
Network latency
Nodes
Optimization
Polynomials
Precoding
Relays
Symmetric matrices
two-way relay (TWR)
ISSN:0018-9545, 1939-9359
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper, an amplify-and-forward two-way relay (TWR) precoding is designed with no source node (SN) processing in order to maximize sum rate and concurrently reduce the network latency and signaling overhead. For the arbitrary pre-/postprocessing at the SNs that have N antennas, it is rigorously shown that an N-by-N optimal TWR precoder matrix is symmetric when the noise power of the TWR node is relatively small compared with that of the SNs and/or each of the channel matrices is spatially orthogonal. Using the symmetric structure of the TWR precoding matrix, a constrained nonlinear-multivariable optimization problem is formulated that can be solved with polynomial time complexity. Furthermore, a closed-form optimal TWR precoding matrix is designed for a TWR system with N = 2. When compared with an optimal joint SN and RN precoding method, it is verified that the proposed precoding method provides a good tradeoff between the system complexity and sum rate performance.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2017.2725998