Total Cost of Ownership Optimization for Direct Air-to-Ground Communication Networks

被引:6
作者
Dinc, Ergin [1 ,2 ]
Vondra, Michal [2 ,3 ]
Cavdar, Cicek [2 ]
机构
[1] Univ Cambridge, Cambridge CB3 OHE, England
[2] KTH Royal Inst Technol, S-11428 Stockholm, Sweden
[3] Skoda Auto As, GG2 Dept, Mlada Boleslav 29301, Czech Republic
关键词
Aircraft; Antenna arrays; Europe; Atmospheric modeling; Array signal processing; Antennas; Bandwidth; Direct air-to-ground communication; beamforming; base station deployment; antenna array; total cost of ownership; MASSIVE MIMO; AERIAL VEHICLES; CONNECTIVITY; DOWNLINK; DESIGN;
D O I
10.1109/TVT.2021.3103634
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Aircraft cabins are one of the last venues without mobile broadband. Considering future 5G applications and connectivity requirements, direct air-to-ground communications (DA2GC) is the only technique which can provide high capacity and low latency backhaul link for aircraft via a direct communication link. To this end, we propose an analytical framework to investigate the ground station deployment problem for DA2GC network employing multi-user beamforming with dual-polarized hybrid DA2GC antenna arrays. In addition, the proposed framework is utilized to analyze and optimize the total cost of ownership (TCO) of the DA2GC network to provide coverage for European airspace. We present the interplay between different network parameters: the number of ground stations, array size, transmit power and bandwidth, and TCO optimizing deployment parameters are calculated in order to satisfy capacity requirements. At the end, we show that, depending on the cost of different network resources, a terrestrial cellular network can be designed to cover the whole European airspace with limited number of ground stations with a certain array size, i.e., 900 and 361 antenna elements for ground station and air station, respectively.
引用
收藏
页码:10157 / 10172
页数:16
相关论文
共 61 条
[1]  
Ahmed A., 2014, 2014 5th international conference on intelligent and advanced systems (ICIAS), P1
[2]  
Ahmed AAW, 2014, 2014 21ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT), P98, DOI 10.1109/ICT.2014.6845088
[3]  
Air Transport Action Group, 2020, Aviation: Benefits beyond Borders
[4]   Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems [J].
Alkhateeb, Ahmed ;
Leus, Geert ;
Heath, Robert W., Jr. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (11) :6481-6494
[5]  
[Anonymous], 2014, 214 ECC
[6]   Massive MIMO: Ten Myths and One Critical Question [J].
Bjornson, Emil ;
Larsson, Erik G. ;
Marzetta, Thomas L. .
IEEE COMMUNICATIONS MAGAZINE, 2016, 54 (02) :114-123
[7]   Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer? [J].
Bjornson, Emil ;
Sanguinetti, Luca ;
Hoydis, Jakob ;
Debbah, Merouane .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (06) :3059-3075
[8]  
Boyd S. P., 2004, Convex Optimization, P561
[9]  
Chang D, 2015, IEEE WCNC, P2256, DOI 10.1109/WCNC.2015.7127818
[10]  
Department of Transportation Federal Aviation Administration, 2010, AUT DEP SERV BROA 91