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Energy efficient and delay aware ternary-state transceivers for aerial base stations

journal contribution
posted on 15.10.2019, 00:00 by Nahina IslamNahina Islam, K Sithamparanathan, KG Chavez, J Scott, H Eltom
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. © 2018 Chongqing University of Posts and Telecommunications

Funding

Category 3 - Industry and Other Research Income

History

Volume

5

Issue

1

Start Page

40

End Page

50

Number of Pages

11

eISSN

2352-8648

Publisher

Elsevier, Netherlands

Additional Rights

CC BY-NC-ND 4.0

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

19/10/2018

External Author Affiliations

CSIRO; RMIT University

Era Eligible

Yes

Journal

Digital Communications and Networks