面向下一代密集网络的节能无线电资源管理

A. Mehbodniya, W. Saad, F. Adachi, Rintaro Yoneya, Ismail Güvenç
{"title":"面向下一代密集网络的节能无线电资源管理","authors":"A. Mehbodniya, W. Saad, F. Adachi, Rintaro Yoneya, Ismail Güvenç","doi":"10.1109/ICEAC.2015.7352211","DOIUrl":null,"url":null,"abstract":"Designing high-speed, energy-efficient heterogeneous wireless networks has recently emerged as a key research challenge. A novel approach for radio resource management at the base station (BS) level is introduced with the objective of improving the spectral-efficiency, while keeping the energy-efficiency (EE) at an acceptable level. In this paper, a hybrid opportunistic ON/OFF switching (OOFS) and dynamic channel allocation (DCA) mechanism is proposed. The problem is formulated as a non-cooperative game between the BSs who seek to decide on their transmission mode and channel allocation parameters. To solve this game, a two-step algorithm is proposed. At first, a mixed-strategy game is used, so the BSs may decide independently about their power management strategy. In the second step, the BS selects its downlink channel using a fully distributed channel segregation approach. In dense heterogeneous environments, the DCA algorithm shows a significant improvement in terms of BS throughput over OOFS algorithm, while keeping an acceptable EE level comparable to OOFS.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Energy-efficient radio resource management for next generation dense HetNet\",\"authors\":\"A. Mehbodniya, W. Saad, F. Adachi, Rintaro Yoneya, Ismail Güvenç\",\"doi\":\"10.1109/ICEAC.2015.7352211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Designing high-speed, energy-efficient heterogeneous wireless networks has recently emerged as a key research challenge. A novel approach for radio resource management at the base station (BS) level is introduced with the objective of improving the spectral-efficiency, while keeping the energy-efficiency (EE) at an acceptable level. In this paper, a hybrid opportunistic ON/OFF switching (OOFS) and dynamic channel allocation (DCA) mechanism is proposed. The problem is formulated as a non-cooperative game between the BSs who seek to decide on their transmission mode and channel allocation parameters. To solve this game, a two-step algorithm is proposed. At first, a mixed-strategy game is used, so the BSs may decide independently about their power management strategy. In the second step, the BS selects its downlink channel using a fully distributed channel segregation approach. In dense heterogeneous environments, the DCA algorithm shows a significant improvement in terms of BS throughput over OOFS algorithm, while keeping an acceptable EE level comparable to OOFS.\",\"PeriodicalId\":334594,\"journal\":{\"name\":\"5th International Conference on Energy Aware Computing Systems & Applications\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"5th International Conference on Energy Aware Computing Systems & Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEAC.2015.7352211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th International Conference on Energy Aware Computing Systems & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAC.2015.7352211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

设计高速、节能的异构无线网络已成为近年来研究的一个重要挑战。提出了一种新的基站级无线电资源管理方法,旨在提高频谱效率,同时将能量效率保持在可接受的水平。本文提出了一种混合机会开/关开关(OOFS)和动态信道分配(DCA)机制。该问题被表述为寻求决定其传输模式和信道分配参数的基站之间的非合作博弈。为了求解这一博弈,提出了一种两步算法。首先,使用混合策略博弈,因此BSs可以独立决定其电源管理策略。在第二步中,BS使用完全分布式信道隔离方法选择其下行信道。在密集的异构环境中,DCA算法在BS吞吐量方面比OOFS算法有显著改善,同时保持与OOFS相当的可接受的EE水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-efficient radio resource management for next generation dense HetNet
Designing high-speed, energy-efficient heterogeneous wireless networks has recently emerged as a key research challenge. A novel approach for radio resource management at the base station (BS) level is introduced with the objective of improving the spectral-efficiency, while keeping the energy-efficiency (EE) at an acceptable level. In this paper, a hybrid opportunistic ON/OFF switching (OOFS) and dynamic channel allocation (DCA) mechanism is proposed. The problem is formulated as a non-cooperative game between the BSs who seek to decide on their transmission mode and channel allocation parameters. To solve this game, a two-step algorithm is proposed. At first, a mixed-strategy game is used, so the BSs may decide independently about their power management strategy. In the second step, the BS selects its downlink channel using a fully distributed channel segregation approach. In dense heterogeneous environments, the DCA algorithm shows a significant improvement in terms of BS throughput over OOFS algorithm, while keeping an acceptable EE level comparable to OOFS.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信