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.
| Original language | English |
|---|---|
| Pages (from-to) | 177-181 |
| Number of pages | 5 |
| Journal | Frequenz |
| Volume | 68 |
| Issue number | 3-4 |
| DOIs | |
| State | Published - Mar 2014 |
| Externally published | Yes |
Keywords
- Approximate message passing
- Distributed iterative receiver
- Gaussian belief propagation
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