Joint Trajectory and Resource Optimization

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Joint Trajectory and Resource Optimization

Zeng, Yong / Wu, Qingqing / Zhang, Rui

Different from the conventional terrestrial communication infrastructure, such as ground base stations, access points and relays, an unmanned aerial vehicle (UAV) enabled communication platform is able to move dynamically to best suit the communication requirement. This offers a new design degree of freedom apart from the conventional communication resource allocation, namely, UAV trajectory optimization, to enhance the communication performance. This chapter aims to discuss the main techniques of exploiting the fully controllable UAV mobility for UAV‐assisted wireless communications. The UAV trajectory optimization problem resembles the classic traveling salesman problem (TSP). Pickup‐and‐delivery problem can be regarded as another generalization of TSP, with the additional precedence constraints, i.e., for each pair of source–destination nodes, the UAV needs to first visit the source node before the destination node to meet the information‐causality constraint.

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Dokumentinformationen

Titel :

Joint Trajectory and Resource Optimization

Beteiligte:

Zeng, Yong (Herausgeber:in) / Guvenc, Ismail (Herausgeber:in) / Zhang, Rui (Herausgeber:in) / Geraci, Giovanni (Herausgeber:in) / Matolak, David W. (Herausgeber:in) / Zeng, Yong (Autor:in) / Wu, Qingqing (Autor:in) / Zhang, Rui (Autor:in)

Erschienen in:

UAV Communications for 5G and Beyond ; 283-297

Erscheinungsdatum :

2020-12-15

Format / Umfang :

15 pages

ISBN :

9781119575795 , 9781119575696

DOI :

https://doi.org/10.1002/9781119575795.ch11

Medientyp :

Aufsatz/Kapitel (Buch)