Investigating Communications Energy Efficiency Tradeoff Between UAV Users and Small-cell Users
In this paper, a novel method is proposed to study the tradeoff between energy efficiency (EE) of small-cell users and unmanned aerial vehicles (UAV) users in multi-cell orthogonal frequency division multiple access (OFDMA)-based networks. Contrary to the prior works that only maximize the EE of the...
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| Vydáno v: | IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) s. 342 - 347 |
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| Jazyk: | angličtina |
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IEEE
13.09.2021
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| ISSN: | 2166-9589 |
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| Abstract | In this paper, a novel method is proposed to study the tradeoff between energy efficiency (EE) of small-cell users and unmanned aerial vehicles (UAV) users in multi-cell orthogonal frequency division multiple access (OFDMA)-based networks. Contrary to the prior works that only maximize the EE of the UAV network subject to some constraints on transmit power of UAV users, we formulate a multi-objective optimization problem (MOOP) that jointly maximize the EE of small-cell and UAV users while guaranteeing the minimum rate for UAV users as well as maximum transmit powers for the corresponding small-cell and UAV BSs. The proposed MOOP is transformed into a single optimization problem (SOOP) by the weighted Tchebycheff approach. Then, an iterative technique is used to optimize alternatively subchannels and transmission powers of small-cell and UAV networks at each step. Numerical results show that a substantial performance gain can be obtained over the existing solutions. |
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| AbstractList | In this paper, a novel method is proposed to study the tradeoff between energy efficiency (EE) of small-cell users and unmanned aerial vehicles (UAV) users in multi-cell orthogonal frequency division multiple access (OFDMA)-based networks. Contrary to the prior works that only maximize the EE of the UAV network subject to some constraints on transmit power of UAV users, we formulate a multi-objective optimization problem (MOOP) that jointly maximize the EE of small-cell and UAV users while guaranteeing the minimum rate for UAV users as well as maximum transmit powers for the corresponding small-cell and UAV BSs. The proposed MOOP is transformed into a single optimization problem (SOOP) by the weighted Tchebycheff approach. Then, an iterative technique is used to optimize alternatively subchannels and transmission powers of small-cell and UAV networks at each step. Numerical results show that a substantial performance gain can be obtained over the existing solutions. |
| Author | Mili, Mohammad Robat Latva-Aho, Matti Beyranvand, Hamzeh Ali, Samad Hashemi, Ramin |
| Author_xml | – sequence: 1 givenname: Ramin surname: Hashemi fullname: Hashemi, Ramin email: ramin.hashemi@oulu.fi organization: University of Oulu,Centre for Wireless Communications (CWC),Oulu,Finland – sequence: 2 givenname: Mohammad Robat surname: Mili fullname: Mili, Mohammad Robat email: mohammad.robatmili@ieee.org organization: Islamic Azad University,Tehran,Iran – sequence: 3 givenname: Samad surname: Ali fullname: Ali, Samad email: samad.ali@oulu.fi organization: University of Oulu,Centre for Wireless Communications (CWC),Oulu,Finland – sequence: 4 givenname: Hamzeh surname: Beyranvand fullname: Beyranvand, Hamzeh email: beyranvand@aut.ac.ir organization: Amirkabir University of Technology (Tehran Polytechnic),Department of Electrical Engineering,Tehran,Iran – sequence: 5 givenname: Matti surname: Latva-Aho fullname: Latva-Aho, Matti email: matti.latva-aho@oulu.fi organization: University of Oulu,Centre for Wireless Communications (CWC),Oulu,Finland |
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| Snippet | In this paper, a novel method is proposed to study the tradeoff between energy efficiency (EE) of small-cell users and unmanned aerial vehicles (UAV) users in... |
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| StartPage | 342 |
| SubjectTerms | Downlink Energy efficiency heterogeneous network multi-objective optimization problem OFDM OFDMA Optimization Performance gain Quality of service small-cell Unmanned aerial vehicles |
| Title | Investigating Communications Energy Efficiency Tradeoff Between UAV Users and Small-cell Users |
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