Energy Efficient Resource Allocation and Scheduling for Delay-Constrained Multi-Cell Broadcast Networks

Resource allocation in wireless cellular networks has been an important and challenging issue. With the rapid development of wireless communications, more and more mobile multimedia and innovative applications (e.g. augmented reality and video conferences) have emerged, which are suitable for wirele...
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Autor*in:	Liang Lu [verfasserIn] Linyu Huang [verfasserIn] Wei Hua [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Wireless broadcast energy efficiency context-awareness resource allocation network coding

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 8(2020), Seite 164844-164857
Übergeordnetes Werk:	volume:8 ; year:2020 ; pages:164844-164857

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2020.3022350

Katalog-ID:	DOAJ056834748

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callnumber-first	T - Technology
author	Liang Lu
spellingShingle	Liang Lu misc TK1-9971 misc Wireless broadcast misc energy efficiency misc context-awareness misc resource allocation misc network coding misc Electrical engineering. Electronics. Nuclear engineering Energy Efficient Resource Allocation and Scheduling for Delay-Constrained Multi-Cell Broadcast Networks
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topic_title	TK1-9971 Energy Efficient Resource Allocation and Scheduling for Delay-Constrained Multi-Cell Broadcast Networks Wireless broadcast energy efficiency context-awareness resource allocation network coding
topic	misc TK1-9971 misc Wireless broadcast misc energy efficiency misc context-awareness misc resource allocation misc network coding misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Wireless broadcast misc energy efficiency misc context-awareness misc resource allocation misc network coding misc Electrical engineering. Electronics. Nuclear engineering
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title	Energy Efficient Resource Allocation and Scheduling for Delay-Constrained Multi-Cell Broadcast Networks
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title_sort	energy efficient resource allocation and scheduling for delay-constrained multi-cell broadcast networks
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title_auth	Energy Efficient Resource Allocation and Scheduling for Delay-Constrained Multi-Cell Broadcast Networks
abstract	Resource allocation in wireless cellular networks has been an important and challenging issue. With the rapid development of wireless communications, more and more mobile multimedia and innovative applications (e.g. augmented reality and video conferences) have emerged, which are suitable for wireless broadcast and have requirements on transmission delay. In this paper, we focus on delay-constrained multi-cell broadcast networks, taking user mobility into consideration for future channel estimation. The promising network coding technique is also adopted to improve transmission efficiency. The objective is to minimize total transmission energy consumption via joint resource allocation and scheduling optimization. Both optimal and heuristic solutions are proposed. Simulation results show that the proposed schemes perform better than other benchmark schemes, in terms of transmission energy consumption and success rate.
abstractGer	Resource allocation in wireless cellular networks has been an important and challenging issue. With the rapid development of wireless communications, more and more mobile multimedia and innovative applications (e.g. augmented reality and video conferences) have emerged, which are suitable for wireless broadcast and have requirements on transmission delay. In this paper, we focus on delay-constrained multi-cell broadcast networks, taking user mobility into consideration for future channel estimation. The promising network coding technique is also adopted to improve transmission efficiency. The objective is to minimize total transmission energy consumption via joint resource allocation and scheduling optimization. Both optimal and heuristic solutions are proposed. Simulation results show that the proposed schemes perform better than other benchmark schemes, in terms of transmission energy consumption and success rate.
abstract_unstemmed	Resource allocation in wireless cellular networks has been an important and challenging issue. With the rapid development of wireless communications, more and more mobile multimedia and innovative applications (e.g. augmented reality and video conferences) have emerged, which are suitable for wireless broadcast and have requirements on transmission delay. In this paper, we focus on delay-constrained multi-cell broadcast networks, taking user mobility into consideration for future channel estimation. The promising network coding technique is also adopted to improve transmission efficiency. The objective is to minimize total transmission energy consumption via joint resource allocation and scheduling optimization. Both optimal and heuristic solutions are proposed. Simulation results show that the proposed schemes perform better than other benchmark schemes, in terms of transmission energy consumption and success rate.
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title_short	Energy Efficient Resource Allocation and Scheduling for Delay-Constrained Multi-Cell Broadcast Networks
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