Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2021
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| _version_ | 1866917766659833856 |
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| author | Bobrov, Evgeny Kropotov, Dmitry Lu, Hao Zaev, Danila |
| author_facet | Bobrov, Evgeny Kropotov, Dmitry Lu, Hao Zaev, Danila |
| contents | The paper describes an online deep learning algorithm (ODL) for adaptive modulation and coding in massive MIMO. The algorithm is based on a fully connected neural network, which is initially trained on the output of the traditional algorithm and then incrementally retrained by the service feedback of its output. We show the advantage of our solution over the state-of-the-art Q-learning approach. We provide system-level simulation results to support this conclusion in various scenarios with different channel characteristics and different user speeds. Compared with traditional OLLA, the algorithm shows a 10\% to 20\% improvement in user throughput in the full-buffer case. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2105_12827 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm Bobrov, Evgeny Kropotov, Dmitry Lu, Hao Zaev, Danila Networking and Internet Architecture Signal Processing The paper describes an online deep learning algorithm (ODL) for adaptive modulation and coding in massive MIMO. The algorithm is based on a fully connected neural network, which is initially trained on the output of the traditional algorithm and then incrementally retrained by the service feedback of its output. We show the advantage of our solution over the state-of-the-art Q-learning approach. We provide system-level simulation results to support this conclusion in various scenarios with different channel characteristics and different user speeds. Compared with traditional OLLA, the algorithm shows a 10\% to 20\% improvement in user throughput in the full-buffer case. |
| title | Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm |
| topic | Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2105.12827 |