Efficient Algorithms for Sum Rate Maximization in Fronthaul-Constrained C-RANs

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.

Authors:
Nguyen Kien-Giang, Vu Quang-Doanh, Tran Le-Nam, Juntti Markku

Publication type:
A4 Article in conference proceedings

Place of publication:
2019 16th International Symposium on Wireless Communication Systems (ISWCS) 27-30 August 2019 Oulu, Finland

Keywords:
6G Publication

Published:
21 October 2019

Full citation:
K. Nguyen, Q. Vu, L. Tran and M. Juntti, “Efficient Algorithms for Sum Rate Maximization in Fronthaul-Constrained C-RANs,” 2019 16th International Symposium on Wireless Communication Systems (ISWCS), Oulu, Finland, 2019, pp. 304-308. doi: 10.1109/ISWCS.2019.8877096

DOI:
https://doi.org/10.1109/ISWCS.2019.8877096

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2019121848683