Software-Based Baseband Processing for Massive MIMO
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| Pubblicato in: | ProQuest Dissertations and Theses (2019) |
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ProQuest Dissertations & Theses
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| Accesso online: | Citation/Abstract Full Text - PDF |
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| 045 | 2 | |b d20190101 |b d20191231 | |
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| 100 | 1 | |a Ding, Jian | |
| 245 | 1 | |a Software-Based Baseband Processing for Massive MIMO | |
| 260 | |b ProQuest Dissertations & Theses |c 2019 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a Large-Scale multiple-input multiple-output (MIMO) is a key technology for improving spectral efficiency. However, it requires massive, real-time computation. All existing solutions are based on dedicated, specialized hardware, e.g., FPGA, that is expensive, inflexible and difficult to program. This thesis investigates a software-only solution that exploits recent CPU development supporting many cores and architectural extensions for fine-grained parallelism. We present a high-performance framework for real-time, large-scale baseband processing on a many-core server. To achieve the high data rate and low latency promised by 5G, the framework utilizes data parallelism and exploits architecture features, including memory hierarchy and SIMD extensions, to accelerate computations and data movements. We report a prototype on a 36-core server and evaluate its performance. | |
| 653 | |a Electrical engineering | ||
| 653 | |a Wireless networks | ||
| 653 | |a Computer centers | ||
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| 653 | |a Principles | ||
| 653 | |a Technology adoption | ||
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| 653 | |a Data processing | ||
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| 653 | |a Efficiency | ||
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| 773 | 0 | |t ProQuest Dissertations and Theses |g (2019) | |
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| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2559450536/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2559450536/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |