Abstract
We consider the problem of multiuser detection in cellular networks. In particular, we present a distributed forward-backward algorithm with local message passing for efficient implementation of the Linear Minimum Mean Square Error (LMMSE) receiver, for a simple model of a one-dimensional cellular system. The distributed algorithm is based on the well-known interpretation of Kalman smoothing as a linear combination of the forward and backward filtered estimates. We also show that near-optimal performance can be achieved by only relying on information from a local linear segment of the entire array. This results in a limited extent distributed algorithm that greatly reduces processing delay, especially for large networks, yet with little loss in performance.
| Original language | English |
|---|---|
| Title of host publication | GLOBECOM'04 - IEEE Global Telecommunications Conference |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 134-138 |
| Number of pages | 5 |
| Volume | 1 |
| ISBN (Print) | 9780780387942, 9780780387959 |
| DOIs | |
| Publication status | Published - 2004 |
| Event | GLOBECOM'04 - IEEE Global Telecommunications Conference - Dallas, TX, United States Duration: 29 Nov 2004 → 3 Dec 2004 |
Other
| Other | GLOBECOM'04 - IEEE Global Telecommunications Conference |
|---|---|
| Country/Territory | United States |
| City | Dallas, TX |
| Period | 29/11/04 → 3/12/04 |
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