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A Low Complexity Sequential Resource Allocation for Panel-Based LIS Surfaces

Pereira, Andreia ; Rusek, Fredrik LU ; Gomes, Marco and Dinis, Rui (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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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
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}},
}