Throughput and energy efficiency maximization for UAV-assisted vehicular networks

Abstract Vehicle-to-Infrastructure (V2I) networks have a wide application prospect for providing vehicles with reliable road safety and infotainment services. This paper studies an Unmanned Aerial Vehicle (UAV)-assisted vehicular network, in which a UAV with cache is dispatched to communicate with moving vehicles and base stations. We study the throughput maximization problem by optimizing the power distribution and trajectory planning of the UAV subject to practical mobility constraints and the information-causality constraint. To solve the non-convex problem, we break it into two sub-problems and propose an iterative algorithm that jointly applying slack variables and sequential optimization. Due to the limited on-board energy of UAVs, improving the energy efficiency (EE) of the UAV is of great significance. To this end, we propose an efficient algorithm by merging fractional programming and sequential optimization. Moreover, we set two special schemes as benchmarks to measure the performance of the proposed algorithms. Numerical results show that the application of cache and the proposed algorithms notably enhance the throughput and EE of the UAV-assisted V2I network.

[1]  Guangchi Zhang,et al.  Throughput Improvement for Multi-Hop UAV Relaying , 2019, IEEE Access.

[2]  Pingzhi Fan,et al.  Polar coded iterative multiuser detection for sparse code multiple access system , 2018, China Communications.

[3]  Paolo Dell'Olmo,et al.  Optimal Throughput Management in UAV-based Networks during Disasters , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[4]  Xingqin Lin,et al.  The Sky Is Not the Limit: LTE for Unmanned Aerial Vehicles , 2017, IEEE Communications Magazine.

[5]  Rui Zhang,et al.  Energy-Efficient UAV Communication With Trajectory Optimization , 2016, IEEE Transactions on Wireless Communications.

[6]  Zhiyong Feng,et al.  Coverage probability of multiple UAVs supported ground network , 2017 .

[7]  Ying Wang,et al.  Joint relay selection and power allocation for maximum energy efficiency in hybrid satellite-aerial-terrestrial systems , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[8]  Zhi Chen,et al.  Energy-efficient trajectory planning for UAV-aided secure communication , 2018, China Communications.

[9]  Youzheng Wang,et al.  Outage performance of non-orthogonal multiple access based unmanned aerial vehicles satellite networks , 2018, China Communications.

[10]  Eduard A. Jorswieck,et al.  Energy-efficient resource allocation in future wireless networks by sequential fractional programming , 2017, Digit. Signal Process..

[11]  Jie Xu,et al.  Throughput Maximization for UAV-Enabled Wireless Powered Communication Networks , 2018, IEEE Internet of Things Journal.

[12]  Bin Li,et al.  The Energy-Efficient UAV-Based BS Coverage in Air-to-Ground Communications , 2018, 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[13]  Xin Wang,et al.  Energy-Efficient Cooperative Relaying for Unmanned Aerial Vehicles , 2016, IEEE Transactions on Mobile Computing.

[14]  Li-Chun Wang,et al.  On-Demand Density-Aware UAV Base Station 3D Placement for Arbitrarily Distributed Users With Guaranteed Data Rates , 2019, IEEE Wireless Communications Letters.

[15]  Kandeepan Sithamparanathan,et al.  Optimal LAP Altitude for Maximum Coverage , 2014, IEEE Wireless Communications Letters.

[16]  Rui Zhang,et al.  Throughput Maximization for UAV-Enabled Mobile Relaying Systems , 2016, IEEE Transactions on Communications.

[17]  Ali Ghrayeb,et al.  Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks , 2019, IEEE Networking Letters.

[18]  Yang Yang,et al.  Energy-efficient multi-UAV coverage deployment in UAV networks: A game-theoretic framework , 2018, China Communications.

[19]  Youmin Zhang,et al.  Multiple UAVs in forest fire fighting mission using particle swarm optimization , 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

[20]  Yongming Huang,et al.  Throughput maximization for UAV-enabled wireless power transfer in relaying system , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[21]  Halim Yanikomeroglu,et al.  3-D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage , 2017, IEEE Wireless Communications Letters.

[22]  Qingqing Wu,et al.  Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks , 2017, IEEE Transactions on Wireless Communications.

[23]  Laurie G. Cuthbert,et al.  Energy-Efficient UAV Communication with Multiple GTs Based on Trajectory Optimization , 2018, Mob. Inf. Syst..

[24]  Laurie G. Cuthbert,et al.  Throughput maximization in UAV-enabled mobile relaying with multiple source nodes , 2019, Phys. Commun..

[25]  Ryu Miura,et al.  Throughput maximization for long-distance real-time data transmission over multiple UAVs , 2016, 2016 IEEE International Conference on Communications (ICC).

[26]  David W. Matolak,et al.  Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part III: The Suburban and Near-Urban Environments , 2017, IEEE Transactions on Vehicular Technology.

[27]  Abbas Jamalipour,et al.  Modeling air-to-ground path loss for low altitude platforms in urban environments , 2014, 2014 IEEE Global Communications Conference.

[28]  Hyunggon Park,et al.  Reliable Data Dissemination Strategy based on Systematic Network Coding in V2I Networks , 2019, 2019 International Conference on Information and Communication Technology Convergence (ICTC).

[29]  Refik Caglar Kizilirmak,et al.  UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication , 2019, 2019 Wireless Days (WD).

[30]  Jie Xu,et al.  Energy Minimization for Wireless Communication With Rotary-Wing UAV , 2018, IEEE Transactions on Wireless Communications.