Efficiently and Globally Solving Joint Beamforming and Compression Problem in the Cooperative Cellular Network Via Lagrangian Duality-Reference-Cited by-同舟云学术

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Efficiently and Globally Solving Joint Beamforming and Compression Problem in the Cooperative Cellular Network Via Lagrangian Duality

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Fan Xilai¹,Liu Ya-Feng¹,Liu Liang²

Affiliation:

1. Chinese Academy of Sciences,LSEC, ICMSEC, AMSS,Beijing,China

2. The Hong Kong Polytechnic University,EIE Department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746455.pdf?arnumber=9746455

Reference31 articles.

1. CVX: Matlab software for disciplined convex programming, version 2.1;grant,2014

2. A framework for uplink power control in cellular radio systems

3. Linear precoding via conic optimization for fixed MIMO receivers

4. Coordinated beamforming for the multicell multi-antenna wireless system

5. Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Joint Beamforming and Compression Design for Per-Antenna Power Constrained Cooperative Cellular Networks;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Optimization problems and methods for resource allocation in wireless communications;SCIENTIA SINICA Mathematica;2023-04-17

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