Abstract
Due to the great potential of the combination of machine learning technology and unmanned aerial vehicle (UAV) enabled wireless communications, various optimization algorithms on resource allocation have been proposed for the Internet of Things. UAVs not only can perform the missions under the extreme conditions but also enhance the overall performance of the system as an aerial relay assisting transmission in the public and civil domains, which have been received extensive attentions. However, with the limited capacity and power constraints, they are difficult to support the transmission for the big data information users. In addition, the lack of spectrum resource poses challenges to satisfy the quality of service (QoS) of mobile users in wireless networks. To contribute to these urgent problems, this article first studies the potential and effective applications of UAVs, by introducing the Chinese remainder theorem (CRT) and nonorthogonal multiple access (NOMA) technologies into UAV relay networks. Two scenarios with/without direct transmissions between the source and destination nodes are investigated, following the decomposition and reconstruction mechanisms to satisfy the big data information transmission. Considering the user fairness, we further discuss the effect of the UAV numbers to the overall system capacity. To maximize the system capacity, the designs of transmission protocol and receiver are also discussed, in various channel conditions. Finally, a low complexity and efficient two‐stage power allocation scheme is established for the perspective of users and UAV relays.
Highlights
The sixth generation (6G) communication requires supporting massive Internet of Things (IoT) devices and extremely differentiated IoT applications for the air-space-ground integrated network
Emerging techniques, i.e., machine learning (ML) and artificial intelligence (AI), are pushing the integration of unmanned aerial vehicle (UAV) into wireless communications, and millions of UAVs are estimated to be massively adopted in various real-life applications, from civilian [1] to military services [2]
(ii) With direct transmissions: The source node is able to communicate with destination node directly (as shown in Figure 2(b)): The difference between this model and previous one is that the source node transmits short packets with superposition code (SC) to UAV relay nodes and the receiver, during the same time slot
Summary
The sixth generation (6G) communication requires supporting massive Internet of Things (IoT) devices and extremely differentiated IoT applications for the air-space-ground integrated network. Multiple short packets decomposed form long packets based on CRT are superposition coded at the transmitter, that will be decoded using SIC to reconstruct the original information. In this manner, the communications between users can be achieved or enhanced by this capacity-limited UAV relays. To effectively enhance cooperative communications for UAV-assisted relay networks using CRT and NOMA technique, the following issues need to be investigated:.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
