Efficient Algorithms for Sum Rate Maximization in Fronthaul-Constrained C-RANs
| Autor: | Quang-Doanh Vu, Le-Nam Tran, Markku Juntti, Kien-Giang Nguyen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Beamforming
Radio access network Mathematical optimization 021103 operations research Computational complexity theory Computer science 0211 other engineering and technologies Approximation algorithm 020206 networking & telecommunications 02 engineering and technology Sparse approximation Maximization Convergence (routing) 0202 electrical engineering electronic engineering information engineering Integer (computer science) |
| Zdroj: | ISWCS |
| DOI: | 10.1109/iswcs.2019.8877096 |
| Popis: | We consider downlink transmission of a fronthaul-constrained cloud radio access network. Our aim is to maximize the system sum data rate via jointly designing beamforming and user association. The problem is basically a mixed integer non-convex programs for which a global solution requires a prohibitively high computational effort. The focus is thus on efficient solutions capable of achieving the near optimal performance with low complexity. To this end, we transform the design problem into continuous programs by two approaches: penalty and sparse approximation methods. The resulting continuous nonconvex problems are then solved by the successive convex approximation framework. Numerical results indicate that the proposed methods are near-optimal, and outperform existing suboptimal methods in terms of achieved performances and computational complexity. |
| Databáze: | OpenAIRE |
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