TY - GEN
T1 - Multiple-Access Based UAV Communications and Trajectory Tracking Over 6G Mobile Wireless Networks
AU - Zhang, Xi
AU - Zhu, Qixuan
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The multiple access technique has been proposed to accommodate a number of heterogeneous communication devices to support a wide variety of applications and services in the sixth generation (6G) mobile wireless networks. Due to the inherent merits in programmability, mobility, and dynamic configuration, unmanned aerial vehicle (UAV) is admitted as the candidate technique for the 6G wireless communication networks. Moreover, UAVs are becoming the important enablers of various applications in military, surveillance, monitoring, supplies delivery, and connection recovery as a temporary hotspot, etc. However, how to efficiently integrate UAV wireless communication system with their trajectory control for 6G networks has neither been well understood nor thoroughly studied. To overcome this challenge, in this paper we propose and develop a control scheme for jointly optimizing UAV coverage probability and trajectory tracking control to efficiently support UAV communications over 6G mobile wireless networks. First, we develop a base station (BS) to UAV communication channel model, and derive the UAV's coverage probability under the Nakagami-m fading channel. Since the UAV's coverage probability depends on its relative posture (i.e., position and angle) to the BS and interfering mobile users, we then derive the UAV flying trajectory control scheme to minimize its trajectory tracking error. We also show that our proposed control schemes can attain the Lyapunov stability of trajectory error. Finally, we validate and evaluate our derived results of the UAV trajectory control scheme over 6G networks through numerical analyses.
AB - The multiple access technique has been proposed to accommodate a number of heterogeneous communication devices to support a wide variety of applications and services in the sixth generation (6G) mobile wireless networks. Due to the inherent merits in programmability, mobility, and dynamic configuration, unmanned aerial vehicle (UAV) is admitted as the candidate technique for the 6G wireless communication networks. Moreover, UAVs are becoming the important enablers of various applications in military, surveillance, monitoring, supplies delivery, and connection recovery as a temporary hotspot, etc. However, how to efficiently integrate UAV wireless communication system with their trajectory control for 6G networks has neither been well understood nor thoroughly studied. To overcome this challenge, in this paper we propose and develop a control scheme for jointly optimizing UAV coverage probability and trajectory tracking control to efficiently support UAV communications over 6G mobile wireless networks. First, we develop a base station (BS) to UAV communication channel model, and derive the UAV's coverage probability under the Nakagami-m fading channel. Since the UAV's coverage probability depends on its relative posture (i.e., position and angle) to the BS and interfering mobile users, we then derive the UAV flying trajectory control scheme to minimize its trajectory tracking error. We also show that our proposed control schemes can attain the Lyapunov stability of trajectory error. Finally, we validate and evaluate our derived results of the UAV trajectory control scheme over 6G networks through numerical analyses.
KW - Lyapunov stability
KW - The sixth generation (6G) wireless networks
KW - channel modeling
KW - trajectory tracking control
KW - unmanned aerial vehicles (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85130738906&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130738906&partnerID=8YFLogxK
U2 - 10.1109/WCNC51071.2022.9771943
DO - 10.1109/WCNC51071.2022.9771943
M3 - Conference contribution
AN - SCOPUS:85130738906
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 2429
EP - 2434
BT - 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Y2 - 10 April 2022 through 13 April 2022
ER -