Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909159588364288 |
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| author | Kim, Youjin Jang, Jonggyu Yang, Hyun Jong |
| author_facet | Kim, Youjin Jang, Jonggyu Yang, Hyun Jong |
| contents | Despite the extensive research on massive MIMO systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations. Furthermore, while the cell-less network concept, which eliminates cell boundaries, is under investigation, practical deployments often grapple with significantly limited backhaul connection capacities between base stations. This letter explores techniques to maximize the sum-rate performance within the constraints of these more realistically equipped multicell networks. We propose an innovative approach that dramatically reduces the need for information exchange between base stations to a mere few bits, in stark contrast to conventional methods that require the exchange of hundreds of bits. Our proposed method not only addresses the limitations imposed by current network infrastructure but also showcases significantly improved performance under these constrained conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_02477 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach Kim, Youjin Jang, Jonggyu Yang, Hyun Jong Signal Processing Artificial Intelligence Despite the extensive research on massive MIMO systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations. Furthermore, while the cell-less network concept, which eliminates cell boundaries, is under investigation, practical deployments often grapple with significantly limited backhaul connection capacities between base stations. This letter explores techniques to maximize the sum-rate performance within the constraints of these more realistically equipped multicell networks. We propose an innovative approach that dramatically reduces the need for information exchange between base stations to a mere few bits, in stark contrast to conventional methods that require the exchange of hundreds of bits. Our proposed method not only addresses the limitations imposed by current network infrastructure but also showcases significantly improved performance under these constrained conditions. |
| title | Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach |
| topic | Signal Processing Artificial Intelligence |
| url | https://arxiv.org/abs/2404.02477 |