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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bougard, Bruno Li, Min Catthoor, Francky Van Der Perre, Liesbet Novo, David Fasthuber, Robert |
| Abstract | Emerging SDR baseband platforms are usually based on multiple DLP+ILP processors with massive parallelism [10]. Although these platforms would theoretically enable advanced SDR signal processing, existing work implemented basic systems and simple algorithms. Importantly, MIMO is not fully supported in most implementations [7][9][11]. [1] implemented MIMO but with a simple linear detector. Our work explores the feasibility for SDR implementations of soft-output ML MIMO detectors, which brings 6--12 dB SNR gains when compared to popular linear detectors. Although soft-output ML MIMO detectors are considered to be challenging even for ASICs [3][4], we combine architecture-friendly algorithms, application specific instructions, code transformations and ILP/DLP explorations to make SDR implementations feasible. In our work, a 2x4 ADRES based ASIP with 16-way SIMD can deliver 193Mbps for 2x2 64QAM, and 368Mbps for 2x2 16QAM transmissions. To the best of our knowledge, this is the first work exploring SDR based soft-output ML MIMO detectors. |
| Starting Page | 1608 |
| Ending Page | 1613 |
| Page Count | 6 |
| File Format | |
| ISBN | 9783981080155 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-04-20 |
| Publisher Place | Leuven |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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