University of Oulu

A. Arvola, S. Joshi and A. Tölli, "Dynamic UL/DL Mode Selection and Resource Allocation in Multi-Cell MIMO TDD Systems," 2019 53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2019, pp. 1936-1940, doi: 10.1109/IEEECONF44664.2019.9048674

Dynamic UL/DL mode selection and resource allocation in multi-cell MIMO TDD systems

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Author: Arvola, Antti1; Joshi, Satya1; Tölli, Antti1
Organizations: 1Centre for Wireless Communications, University of Oulu, P.O. Box 4500 FIN-90014 University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-05-26


This paper considers joint uplink/downlink mode selection and resource allocation problem in multi-cell systems for flexible TDD frame structures. To combat the difficult interference characteristics of such systems, a dynamic mode selection and resource allocation scheme is derived using Lyapunov optimization. The result is a cross-layer optimization scheme, where a long-term time-average utility function of flow rates and interference penalty is optimized by solving a series of instantaneous subproblems. The proposed dynamic algorithm provides a solution for the UL/DL mode selection and resource allocation, guided by the accumulating network layer queues and virtual queues. Furthermore, a heuristic method is considered to decouple the difficult power constraint in the resource allocation subproblem.

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Series: Asilomar Conference on Signals, Systems & Computers
ISSN: 1058-6393
ISSN-E: 1058-6393
ISSN-L: 1058-6393
ISBN: 978-1-7281-4300-2
ISBN Print: 978-1-7281-4301-9
Pages: 1936 - 1940
DOI: 10.1109/IEEECONF44664.2019.9048674
Host publication: 2019 53rd Asilomar Conference on Signals, Systems, and Computers Nov 3-6, 2019 Pacific Grove, CA, USA
Host publication editor: Matthews, Michael B.
Conference: Annual Asilomar Conference on Signals, Systems, and Computers
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by the European Commission in the framework of the H2020-EUJ-02-2018 project 5G-Enhance (Grant agreement no. 815056) and the Academy of Finland 6Genesis Flagship (grant no. 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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