3D spatial-temporal spectrum sensing and sharing for cognitive UAV networks

被引：2
作者：
Tan, Ying [1 ]
Du, Liping [1 ,2 ]
Chen, Yueyun [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Shunde Innovat Sch, Foshan 528399, Peoples R China
来源：
PHYSICAL COMMUNICATION | 2023年 / 61卷
关键词：
Cognitive UAV networks; Downlink throughput; Spatial-temporal sensing; Spectrum sharing; UNMANNED AERIAL VEHICLES; CIVIL APPLICATIONS; OPTIMIZATION; MANAGEMENT; ALTITUDE; D2D;
D O I：
10.1016/j.phycom.2023.102177
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：
Unmanned aerial vehicle (UAV) enabled wireless communication networks have attracted significant research attention. With no dedicated spectrum allocated to UAV communications, cognitive radio (CR) technology is considered an important way of supporting UAV communications. In this paper, we study the three-dimensional (3D) spatial-temporal spectrum sensing and sharing for cognitive UAV networks to reuse the spectrum holes. We consider the UAVs randomly and uniformly distributed in one 3D hemisphere and cognitive UAVs perform spatial-temporal spectrum sensing to opportunistically access the licensed spectrum band of the ground base station (GBS). The objective of the considered 3D spectrum sharing networks is to maximize the downlink throughput of cognitive UAV networks with the constraint of interference to the GBS by optimizing the sensing time, power allocation and 3D coordinates of UAVs. Considering the mutual interference between UAVs, we further derive the interference-free transmit probability (IFTP) between UAVs based on the distribution of UAVs. The simulation results show that the achievable downlink throughput of cognitive UAV networks with the proposed 3D spatial-temporal spectrum sharing scheme is about 2.2 times higher than that of the pure temporal spectrum sharing scheme. (c) 2023 Elsevier B.V. All rights reserved.
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页数：11
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