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摘要:
In recent times, Aerial Base Stations(AeBSs) are being investigated to provide wireless coverage to terrestrial radio terminals. There are many advantages of using aerial platforms to provide wireless coverage, including larger coverage in remote areas and better line-of-sight conditions, etc. Energy is a scarce resource for the AeBSs, hence the wise management of energy is quite beneficial for the aerial network. In this context, we study the means of reducing the total energy consumption by designing and implementing an energy efficient AeBSs as presented in this paper. Implementing the sleep mode in the Base Stations (BSs) has been proven to be a very good approach for improving the energy efficiency and we propose a novel strategy for further improving energy efficiency by considering ternary state transceivers for AeBSs. Using the three state model, we propose a Markov Decision Process (MDP) based algorithm, which intelligently switches among three states of the transceivers based on the offered traffic meanwhile maintaining a prescribed minimum channel rate per user. We define a reward function for the MDP, which helps us to get an optimal policy for selecting a particular mode for the transceivers of the AeBS. Considering an AeBS with transceivers whose states are changeable, we perform simulations to analyse the performance of the algorithm. Our results show that, compared with the always active model, around 40% gain in the energy efficiency is achieved by using our proposed MDP algorithm together with the three-state transceivers model. We also show the energy-delay tradeoff in order to design an efficient AeBS.
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篇名 Energy efficient and delay aware ternary-state transceivers for aerial base stations
来源期刊 数字通信与网络:英文版 学科 工学
关键词 AERIAL base station UAV Green communication Sleep mode Markov decision process ENERGY efficiency ENERGY DELAY TRADEOFF
年,卷(期) sztxywlywb_2019,(1) 所属期刊栏目
研究方向 页码范围 40-50
页数 11页 分类号 TN
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
AERIAL
base
station
UAV
Green
communication
Sleep
mode
Markov
decision
process
ENERGY
efficiency
ENERGY
DELAY
TRADEOFF
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
数字通信与网络:英文版
季刊
2468-5925
50-1212/TN
重庆南岸区崇文路2号重庆邮电大学数字通信
78-45
出版文献量(篇)
11481
总下载数(次)
2
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