Optimization of Energy Efficiency in UAV-Enabled Cognitive IoT With Short Packet Communication

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 UAVenabled 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.

Short packet communication in underlay cognitive network assisted by an intelligent reflecting surface

“…Their proposed protocol lowers the latency and improves the reliability from those of the benchmark scheme (long packet communications created in the same model settings). However, previous works [14][15][16][17][18][19] have ignored the emerging IRS.…”

“…The relay can be selected to improve the BLER performance. Hu and others [18] considered short‐packet communications in spectrum‐sharing networks assisted by an unmanned aerial vehicle (UAV). Because the UAV has a limited battery capacity, Hu and others [18] designed the packet error rate, sensing duration, normalized sensing threshold, and transmit power of the UAV to maximize the energy efficiency under the protection constraints at the primary receivers.…”

“…Hu and others [18] considered short‐packet communications in spectrum‐sharing networks assisted by an unmanned aerial vehicle (UAV). Because the UAV has a limited battery capacity, Hu and others [18] designed the packet error rate, sensing duration, normalized sensing threshold, and transmit power of the UAV to maximize the energy efficiency under the protection constraints at the primary receivers. Vu and others [19] studied a general approach for short‐packet communications in wireless‐powered cognitive NOMA IoT networks with imperfect channel state information (CSI) and successive interference cancelation.…”

“…Recently published works [14][15][16][17][18][19] have focused on short-packet communication cognitive radio networks. Cognitive radio is a spectrum-sharing solution between primary users in primary networks and secondary users in secondary networks, allowing the efficient use of licensed spectra in primary networks.…”

Impact of UAV Trajectory on NOMA-Assisted Cellular-Connected UAV Networks

“…State-of-the-Art in the Literature: Next, we present the state-of-the-art in the literature related to MUSA-based GF-NOMA and short packet communications. Recently, several studies have proposed to use NOMA in short packet communications to reduce the latency of time-critical applications while improving the spectral efficiency [25]- [27]. Moreover, the aforementioned merits of utilizing UAVs in the IoT infrastructure have motivated the modeling and analysis of UAV-assisted IoT networks with short packet communication to improve reliability, latency, throughput, and energy efficiency [14], [28]- [32].…”