Abstract
In this paper, we propose a simple yet effective modulation classification method for ML-based multi-user detection. We show that the proposed method, which is a simplification of Bayesian likelihood ratio test, can be implemented by modifying the sphere decoding algorithm. As a result, the modulation classification as well as the multi-user detection can be jointly achieved with minimal classification overhead. Simulation results in multi-user detection of high-speed downlink packet access (HSDPA) system show that the proposed method offers considerable performance gain over conventional RAKE and MMSE algorithms.
| Original language | English |
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| Title of host publication | 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 |
| Pages | 668-671 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 - Perugia, Italy Duration: 2009 Jun 21 → 2009 Jun 24 |
Publication series
| Name | IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
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Other
| Other | 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 |
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| Country | Italy |
| City | Perugia |
| Period | 09/6/21 → 09/6/24 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Information Systems
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Cite this
Shim, B., & Kang, I. (2009). Joint modulation classification and multi-user detection using multi-modulation sphere decoding. In 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 (pp. 668-671). [5161869] (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC). https://doi.org/10.1109/SPAWC.2009.5161869