Abstract
Computation offloading is a hot research topic in mobile edge computing (MEC). Computation offloading among multiedge nodes in heterogeneous networks can help reduce offloading cost. In addition, the unmanned aerial vehicles (UAVs) play a key role in MEC, where UAVs in the air communicate with ground base stations to improve the network performance. However, limited channel resources can lead to the increase of transmission delay and the decline of communication quality. Effective channel selection mechanisms can help address those issues by improving transmission rate and ensuring communication quality. In this paper, we study channel selection during communication between multiple UAVs and base stations in an MEC system with heterogeneous networks. To maximize the transmission rate of each UAV user, we formulate a channel selection problem and model it as a noncooperative game. Then, we prove the existence of Nash equilibrium (NE). In addition, we design a multiple UAV-enabled transmission channel selection (UTCS) algorithm to obtain the equilibrium strategy profile of all the UAV users. Experimental results validate that UTCS algorithm can converge after a finite number of iterations and it outperforms random transmission algorithm (RTA) and sequential transmission algorithm (STA).
Highlights
With the development of mobile computing, the number of mobile users has soared
To reduce the communication and computing delay, mobile edge computing (MEC) is proposed as a promising paradigm [1, 2]. e computing and storage capacities are provided at edge nodes, providing services for terminal tasks and effectively reducing data processing delay and energy consumption of terminal devices. 5G-enabled MEC [3] is composed of heterogeneous base stations, where small cell base stations (SBSs) [4] reuse the channel resources with macro cell base station (MBS)
Many existing studies merely focused on the communication between unmanned aerial vehicles (UAVs) and users, and the communication between multiple UAVs and ground base stations had not been explored widely. us, we study the communication between UAVs and ground base stations
Summary
With the development of mobile computing, the number of mobile users has soared. the network resources are limited. An effective channel selection strategy can improve the utilization of channel resources and ensure the high transmission rate of each computing task. In this paper, aiming at the offloading problem in edge computing, we study channel selection strategies for communication between multi-UAV users and base stations in MEC with heterogeneous networks. Our model considers the interference generated by channel multiplexing to ensure high-quality data transmission for each UAV user. (iii) To reach the NE of the formulated noncooperative game, we propose a multiple UAV-enabled transmission channel selection (UTCS) algorithm. (iv) We perform extensive numerical simulations to validate UTCS algorithm to compute the NE solution (i.e., the equilibrium channel selection and the equilibrium data transmission rate of each user).
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