Abstract
The unmanned aerial vehicle (UAV) assisted communication can significantly improve the coverage and spectrum efficiency of the Internet of Things (IoT). One main feature of IoT is short packet communication (SPC), in which the data transmission uses finite block-length codewords. The transmission rate and the packet error rate will affect the effective throughput of the IoT. In this paper, we investigate the impact of SPC on the performance of UAV-enabled spectrum sharing network. Specifically, the optimization of energy efficiency (EE) in the UAV communication system is considered since the battery of the UAV is usually limited. We design the packet error rate, the sensing duration, the normalized sensing threshold and the UAV’s transmit power to maximize the EE under the constraint that the primary user is sufficiently protected. Since the system parameters are intertwined with each other, we employ a successive optimization algorithm to solve the optimization problem by dividing it into three subproblems. Then, an efficient iterative algorithm is proposed to obtain the optimal parameters. Simulation results reveal that the proposed algorithm can converge to global optimal value and has better EE performance than other benchmark schemes. And there is a fundamental tradeoff between the throughput and the EE.
Highlights
W ITH the development of Internet of Things (IoT), the data traffic will increase rapidly, and a large amount of spectrum is required [1] [2]
Combining the solutions of the three subproblems, we propose an iterative optimization algorithm to solve OP and obtain the optimal parameters of the unmanned aerial vehicle (UAV) communication system
The proposed algorithm can almost have the same performance with exhaustive search, which can be seen from the simulation results
Summary
W ITH the development of Internet of Things (IoT), the data traffic will increase rapidly, and a large amount of spectrum is required [1] [2]. In order to solve the spectrum scarcity problem, cognitive radio (CR) technology has been proposed to improve the spectrum efficiency (SE) [3]. The secondary IoT-devices firstly detect the state of the licensed spectrum, and utilize the licensed spectrum opportunistically if the primary IoTdevices are idle [4]. In this way, the utilization efficiency of the licensed spectrum can be improved. The integration of ground-based network and air-based network is one of the difficulties in the construction of six generation (6G) communication system. In air-based network, the unmanned aerial vehicle (UAV) assisted communication has been widely investigated in civil and military applications
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