• Corpus ID: 195700009

Content-Based User Association and MIMO Operation over Cached Cloud-RAN Networks

@article{Mosleh2019ContentBasedUA,
  title={Content-Based User Association and MIMO Operation over Cached Cloud-RAN Networks},
  author={Susanna Mosleh and Lingjia Liu and Jonathan D. Ashdown and Erik S. Perrins and Kurt A. Turck},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.11318}
}

• S. Mosleh, Lingjia Liu, +2 authors K. Turck
• Published 26 June 2019
• Computer Science
• ArXiv

Cloud radio access network (Cloud-RAN) has been introduced to support ever-growing end-users' needs. To reduce the backhaul traffic and aid coordinated multi-point (CoMP) transmission, base station (BS)-level caching technique can be utilized, where popular contents are pre-fetched at each BS. In this paper, multiple-input-multiple-output (MIMO) operation and user association policy are linked to the underlying cache placement strategy to ensure a good trade-off between load balancing and backhaul traffic taking into account the underlying wireless channel and the finite cache capacity at BSs. Due to the coupled interference among mobile stations, the binary nature of the underlying cache placement and user association matrices, the resulting mixed-timescale mixed integer optimization problem is nonconvex and NP-hard. To solve this problem, we decompose the joint optimization problem into a long-term content placement sub-problem and a short-term content delivery sub-problem. A novel iterative algorithm is introduced by leveraging the alternating direction method of multipliers together with a stochastic parallel successive convex approximation-based algorithm. The introduced scheme enables all BSs to update their optimization variables in parallel by solving a sequence of convex subproblems. Simulation evaluation demonstrates the efficiency of our strategy.