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Contribution to Book
Joint Pilot Allocation and Robust Beam-Vector Design for Ultra-Dense TDD C-RAN
2017 IEEE Global Communications Conference (GLOBECOM): Proceedings
  • Cunhua Pan, Queen Mary University of London
  • Hani Mehrpouyan, Boise State University
  • Yuanwei Liu, King's College London
  • Maged Elkashlan, Queen Mary University of London
  • Arumugam Nallanathan, Queen Mary University of London
Document Type
Conference Proceeding
Publication Date
1-1-2017
DOI
http://dx.doi.org/10.1109/GLOCOM.2017.8254472
Abstract

This paper deals with the unavailability of full CSI in ultra-dense user-centric TDD C-RAN. To reduce the channel training overhead, we consider the incomplete CSI case, where only large-scale inter-cluster CSI is available. Channel estimation for intra-cluster CSI is also considered, where we formulate a joint pilot allocation and user equipment (UE) selection problem to maximize the number of admitted UEs with fixed number of pilots. A novel pilot allocation algorithm is proposed by considering the multi-UE pilot interference. Then, we consider robust beam-vector optimization problem subject to UEs’ data rate requirements and fronthaul capacity constraints, where the channel estimation error and incomplete inter-cluster CSI are considered. Simulation results demonstrate its superiority over the existing algorithms.

Citation Information
Cunhua Pan, Hani Mehrpouyan, Yuanwei Liu, Maged Elkashlan, et al.. "Joint Pilot Allocation and Robust Beam-Vector Design for Ultra-Dense TDD C-RAN" 2017 IEEE Global Communications Conference (GLOBECOM): Proceedings (2017)
Available at: http://works.bepress.com/hani_mehrpouyan/75/