Joint Pilot Allocation and Robust Beam-vector Design for Ultra-Dense TDD C-RAN

被引：0

作者：

Pan, Cunhua ^{[1
]}

Mehrpouyan, Hani ^{[2
]}

Liu, Yuanwei ^{[3
]}

Elkashlan, Maged ^{[1
]}

Nallanathan, Arumugam ^{[1
]}

机构：

[1] Queen Mary Univ London, London, England

[2] Boise State Univ, Boise, ID 83725 USA

[3] Kings Coll London, London, England

来源：

GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE | 2017年

关键词：

SELECTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：5

共 15 条

[1]

[Anonymous], 2007, 3GPP TSG RAN WG1 M 5

[2] NEW METHODS TO COLOR THE VERTICES OF A GRAPH [J].