A Low Complexity Sequential Resource Allocation for Panel-Based LIS Surfaces
(2022) 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring In IEEE Vehicular Technology Conference 2022-June.- Abstract
Large intelligent surfaces (LISs) is an evolution of massive MIMO systems allowing for huge capacity gains. To reduce implementation complexity, it is convenient to implement the LIS using panels that are either activated or deactivated, and associated to terminals according to their propagation characteristics to the panels. The associated spatial resource allocation to maximise the terminals', as well as the overall, bit rates can lead to complex optimisation problems.In this paper we consider resource allocation for panel-based LIS surfaces. We present an iterative sequential algorithm for determining the set of active panels and the respective panel-terminal association for the maximisation of the minimum terminal rate. Our... (More)
Large intelligent surfaces (LISs) is an evolution of massive MIMO systems allowing for huge capacity gains. To reduce implementation complexity, it is convenient to implement the LIS using panels that are either activated or deactivated, and associated to terminals according to their propagation characteristics to the panels. The associated spatial resource allocation to maximise the terminals', as well as the overall, bit rates can lead to complex optimisation problems.In this paper we consider resource allocation for panel-based LIS surfaces. We present an iterative sequential algorithm for determining the set of active panels and the respective panel-terminal association for the maximisation of the minimum terminal rate. Our algorithm is decentralised and has low complexity. Moreover, it approaches the performance of much more complex, quasi-optimum algorithms.
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- author
- Pereira, Andreia ; Rusek, Fredrik LU ; Gomes, Marco and Dinis, Rui
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Large Intelligent Surfaces, Massive MIMO, Resource Allocation, Sequential optimisation
- host publication
- 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
- series title
- IEEE Vehicular Technology Conference
- volume
- 2022-June
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
- conference location
- Helsinki, Finland
- conference dates
- 2022-06-19 - 2022-06-22
- external identifiers
-
- scopus:85137811601
- ISSN
- 1550-2252
- ISBN
- 9781665482431
- DOI
- 10.1109/VTC2022-Spring54318.2022.9860705
- language
- English
- LU publication?
- yes
- id
- 43213074-7895-40c4-9539-4fe8a6e36925
- date added to LUP
- 2022-11-30 12:24:38
- date last changed
- 2023-11-19 07:20:51
@inproceedings{43213074-7895-40c4-9539-4fe8a6e36925, abstract = {{<p>Large intelligent surfaces (LISs) is an evolution of massive MIMO systems allowing for huge capacity gains. To reduce implementation complexity, it is convenient to implement the LIS using panels that are either activated or deactivated, and associated to terminals according to their propagation characteristics to the panels. The associated spatial resource allocation to maximise the terminals', as well as the overall, bit rates can lead to complex optimisation problems.In this paper we consider resource allocation for panel-based LIS surfaces. We present an iterative sequential algorithm for determining the set of active panels and the respective panel-terminal association for the maximisation of the minimum terminal rate. Our algorithm is decentralised and has low complexity. Moreover, it approaches the performance of much more complex, quasi-optimum algorithms.</p>}}, author = {{Pereira, Andreia and Rusek, Fredrik and Gomes, Marco and Dinis, Rui}}, booktitle = {{2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings}}, isbn = {{9781665482431}}, issn = {{1550-2252}}, keywords = {{Large Intelligent Surfaces; Massive MIMO; Resource Allocation; Sequential optimisation}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Vehicular Technology Conference}}, title = {{A Low Complexity Sequential Resource Allocation for Panel-Based LIS Surfaces}}, url = {{http://dx.doi.org/10.1109/VTC2022-Spring54318.2022.9860705}}, doi = {{10.1109/VTC2022-Spring54318.2022.9860705}}, volume = {{2022-June}}, year = {{2022}}, }