University of Oulu

P. Jayasinghe, A. Tölli, J. Kaleva and M. Latva-Aho, "Direct beamformer estimation for dynamic TDD networks with forward-backward training," 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Sapporo, 2017, pp. 1-6. doi: 10.1109/SPAWC.2017.8227796

Direct beamformer estimation for dynamic TDD networks with forward-backward training

Saved in:
Author: Jayasinghe, Praneeth1; Tölli, Antti1; Kaleva, Jarkko1;
Organizations: 1Centre for Wireless Communications, University of Oulu, P.O. Box 4500, FIN-90014, Oulu, Finland.
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018080133226
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-01
Description:

Abstract

This paper investigates direct beamformer estimation in dynamic time division duplexing (TDD) system with the objective of weighted sum rate maximization. For a given TDD frame, base stations (BS) are allocated to either uplink or downlink based on the instantaneous traffic state. The weighted sum mean-squared error minimization framework is used to obtain the decentralized iterative solution for the beamformer optimization. The received precoded pilot training matrices are directly used in the decoupled optimization problem, and two different over the air bi-directional signaling strategies are used for iterative forward-backward training of both transmit and receive beamformers. Detailed flow of signaling exchange and the beamformers estimation procedures are described for each bi-directional signaling strategy. Moreover, the proposed beamformer signaling schemes allow non-orthogonal and overlapping pilots, which greatly reduces the resource allocation effort. The numerical examples illustrate the system performance of the proposed algorithms against the training sequence length.

see all

Series: IEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN: 1948-3244
ISSN-L: 1948-3244
ISBN: 978-1-5090-3009-5
ISBN Print: 978-1-5090-3010-1
Article number: 8227796
DOI: 10.1109/SPAWC.2017.8227796
OADOI: https://oadoi.org/ 10.1109/SPAWC.2017.8227796
Host publication: IEEE International Workshop on Signal Processing Advances in Wireless Communications
Conference: IEEE International Workshop on Signal Processing Advances in Wireless Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research was supported by the Finnish Funding Agency for Technology and Innovation (TEKES), Nokia and Infotech Oulu Graduate School.
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.