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Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN

Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve the signal quality. However, CoMP may incur r...

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Autores principales: Yang, Peng, Chen, Liao, Zhang, Hong, Yang, Jing, Wang, Ruyan, Li, Zhidu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794835/
https://www.ncbi.nlm.nih.gov/pubmed/33396367
http://dx.doi.org/10.3390/s21010217
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author Yang, Peng
Chen, Liao
Zhang, Hong
Yang, Jing
Wang, Ruyan
Li, Zhidu
author_facet Yang, Peng
Chen, Liao
Zhang, Hong
Yang, Jing
Wang, Ruyan
Li, Zhidu
author_sort Yang, Peng
collection PubMed
description Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve the signal quality. However, CoMP may incur redundant data transmission over fronthaul network in the C-RAN. In a C-RAN employing CoMP, a key problem is how to coordinate heterogeneous resource allocation to maximize the cooperation gain while reducing the fronthaul load. In this paper, the cooperation transmission based on a multi-dimensional resource schedule (MRSCT) scheme, jointly considering user association, spectrum resource allocation, and wavelength resource allocation, is firstly envisioned in the underlying C-RAN integrating time and wavelength division multiplexing passive optical network (TWDM-PON) to maximize fronthaul efficiency. Then a two-timescale resource allocation framework including two sub-approaches is established. More specially, the first sub-approach mainly focuses on exploiting reinforcement learning to obtain a wavelength resource allocation strategy to relieve fronthaul traffic load. Moreover, the second sub-approach adopts the overlapping coalition formation game to establish a user-centric cooperative set, where spectrum resources are dynamically allocated to further alleviate the interference issue. The theoretical analysis and simulation results validate the performance of MRSCT scheme on the fronthaul efficiency, user experience, and system service capability.
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spelling pubmed-77948352021-01-10 Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN Yang, Peng Chen, Liao Zhang, Hong Yang, Jing Wang, Ruyan Li, Zhidu Sensors (Basel) Article Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve the signal quality. However, CoMP may incur redundant data transmission over fronthaul network in the C-RAN. In a C-RAN employing CoMP, a key problem is how to coordinate heterogeneous resource allocation to maximize the cooperation gain while reducing the fronthaul load. In this paper, the cooperation transmission based on a multi-dimensional resource schedule (MRSCT) scheme, jointly considering user association, spectrum resource allocation, and wavelength resource allocation, is firstly envisioned in the underlying C-RAN integrating time and wavelength division multiplexing passive optical network (TWDM-PON) to maximize fronthaul efficiency. Then a two-timescale resource allocation framework including two sub-approaches is established. More specially, the first sub-approach mainly focuses on exploiting reinforcement learning to obtain a wavelength resource allocation strategy to relieve fronthaul traffic load. Moreover, the second sub-approach adopts the overlapping coalition formation game to establish a user-centric cooperative set, where spectrum resources are dynamically allocated to further alleviate the interference issue. The theoretical analysis and simulation results validate the performance of MRSCT scheme on the fronthaul efficiency, user experience, and system service capability. MDPI 2020-12-31 /pmc/articles/PMC7794835/ /pubmed/33396367 http://dx.doi.org/10.3390/s21010217 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Peng
Chen, Liao
Zhang, Hong
Yang, Jing
Wang, Ruyan
Li, Zhidu
Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN
title Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN
title_full Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN
title_fullStr Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN
title_full_unstemmed Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN
title_short Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN
title_sort joint optical and wireless resource allocation for cooperative transmission in c-ran
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794835/
https://www.ncbi.nlm.nih.gov/pubmed/33396367
http://dx.doi.org/10.3390/s21010217
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