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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Published in:IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) pp. 342 - 347
Main Authors: Hashemi, Ramin, Mili, Mohammad Robat, Ali, Samad, Beyranvand, Hamzeh, Latva-Aho, Matti
Format: Conference Proceeding
Language:English
Published: IEEE 13.09.2021
Subjects:
Downlink
Energy efficiency
heterogeneous network
multi-objective optimization problem
OFDM
OFDMA
Optimization
Performance gain
Quality of service
small-cell
Unmanned aerial vehicles
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.
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
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  surname: Hashemi
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  organization: University of Oulu,Centre for Wireless Communications (CWC),Oulu,Finland
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  givenname: Mohammad Robat
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  givenname: Samad
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  givenname: Hamzeh
  surname: Beyranvand
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  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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