Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916182343286784 |
|---|---|
| author | Bian, Xinyu Liu, Yuhao Xu, Yizhou Hou, Tianqi Wang, Wenjie Mao, Yuyi Zhang, Jun |
| author_facet | Bian, Xinyu Liu, Yuhao Xu, Yizhou Hou, Tianqi Wang, Wenjie Mao, Yuyi Zhang, Jun |
| contents | Inter-cell interference (ICI) suppression is critical for multi-cell multi-user networks. In this paper, we investigate advanced precoding techniques for coordinated multi-point (CoMP) with downlink coherent joint transmission, an effective approach for ICI suppression. Different from the centralized precoding schemes that require frequent information exchange among the cooperating base stations, we propose a decentralized scheme to minimize the total power consumption. In particular, based on the covariance matrices of global channel state information, we estimate the ICI bounds via the deterministic equivalents and decouple the original design problem into sub-problems, each of which can be solved in a decentralized manner. To solve the sub-problems at each base station, we develop a low-complexity solver based on the alternating direction method of multipliers (ADMM) in conjunction with the convex-concave procedure (CCCP). Simulation results demonstrate the effectiveness of our proposed decentralized precoding scheme, which achieves performance similar to the optimal centralized precoding scheme. Besides, our proposed ADMM solver can substantially reduce the computational complexity, while maintaining outstanding performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_19127 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents Bian, Xinyu Liu, Yuhao Xu, Yizhou Hou, Tianqi Wang, Wenjie Mao, Yuyi Zhang, Jun Signal Processing Information Theory Inter-cell interference (ICI) suppression is critical for multi-cell multi-user networks. In this paper, we investigate advanced precoding techniques for coordinated multi-point (CoMP) with downlink coherent joint transmission, an effective approach for ICI suppression. Different from the centralized precoding schemes that require frequent information exchange among the cooperating base stations, we propose a decentralized scheme to minimize the total power consumption. In particular, based on the covariance matrices of global channel state information, we estimate the ICI bounds via the deterministic equivalents and decouple the original design problem into sub-problems, each of which can be solved in a decentralized manner. To solve the sub-problems at each base station, we develop a low-complexity solver based on the alternating direction method of multipliers (ADMM) in conjunction with the convex-concave procedure (CCCP). Simulation results demonstrate the effectiveness of our proposed decentralized precoding scheme, which achieves performance similar to the optimal centralized precoding scheme. Besides, our proposed ADMM solver can substantially reduce the computational complexity, while maintaining outstanding performance. |
| title | Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2403.19127 |