Location-aware network operation for cloud radio access network

Citation data:

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN: 1520-6149, Page: 3714-3718

Publication Year:
2017
Usage 4
Abstract Views 4
Repository URL:
http://hdl.handle.net/10754/625804
DOI:
10.1109/icassp.2017.7952850
Author(s):
Wang, Fanggang; Ruan, Liangzhong; Win, Moe Z.
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE); IEEE
Tags:
Computer Science; Engineering
conference paper description
One of the major challenges in effectively operating a cloud radio access network (C-RAN) is the excessive overhead signaling and computation load that scale rapidly with the size of the network. In this paper, the exploitation of location information of the mobile devices is proposed to address this challenge. We consider an approach in which location-assisted channel state information (CSI) acquisition methods are introduced to complement conventional pilot-based CSI acquisition methods and avoid excessive overhead signaling. A low-complexity algorithm is designed to maximize the sum rate. An adaptive algorithm is also proposed to address the uncertainty issue in CSI acquisition. Both theoretical and numerical analyses show that location information provides a new dimension to improve throughput for next-generation massive cooperative networks.