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Approximate Message Passing Algorithms for Distributed Iterative Receiver
-
Ziqi Yue
and
Qing Guo
Published/Copyright:
February 22, 2014
Abstract
Joint decoding of all users' data symbols can be distributed across a network of interacting base stations by message passing techniques. Instead of discrete belief propagation, the Gaussian belief propagation algorithm (GaBP) is proposed. The approximate message passing algorithm has lower computational complexity. Numerical results show a near optimal performance of the data estimation in terms of the minimum mean square error sense or bit error rate.
Received: 2013-5-15
Published Online: 2014-2-22
Published in Print: 2014-3-1
©2014 by Walter de Gruyter Berlin/Boston
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Keywords for this article
approximate message passing;
Gaussian belief propagation;
distributed iterative receiver
Articles in the same Issue
- Frontmatter
- Performance Analysis of Cooperative Fixed-Gain Relaying over Asymmetric Fading Channels
- Sensing-throughput Trade off for Interference-aware Cognitive Radio Networks
- Improved Cyclostationary-Based Spectrum Sensing with Multiple Antennas in Fading and Shadowing Environments
- Distortion Range Determination Methodology
- A New Model of CFAR Detector
- Novel Teletraffic Analysis of GSM/EDGE Orthogonal Sub Channel (OSC) and Application to Spectrum Re-farming
- The Influence of the Number of Relay Antennas on the Secure DoF with Active Cooperation
- Relay Management in Energy-aware Cooperative Ad Hoc Networks: A Perspective of Stochastic Game
- Comparison of the Influence of Intra-cell Traffic and Finite Number of Mobile Phones on the Determination of Number of Channels in the BTS of GSM Network
- Approximate Message Passing Algorithms for Distributed Iterative Receiver
- An Adaptive Stopping Rule for Distributed Opportunistic Spectrum Access Systems with Multi-channel and Multi-user
- Defense against Lion Attack in Cognitive Radio Systems using the Markov Decision Process Approach
