Joint Pilot Allocation and Robust Beam-Vector Design for Ultra-Dense TDD C-RAN
Document Type
Conference Proceeding
Publication Date
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.
Publication Information
Pan, Cunhua; Mehrpouyan, Hani; Liu, Yuanwei; Elkashlan, Maged; and Nallanathan, Arumugam. (2017). "Joint Pilot Allocation and Robust Beam-Vector Design for Ultra-Dense TDD C-RAN". 2017 IEEE Global Communications Conference (GLOBECOM): Proceedings, .