Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the Space–Air–Ground Integrated Network

Abstract

The management and allocation of electromagnetic spectrum resources is the inner driving force of the construction of the space–air–ground integrated network. Existing spectrum allocation methods are difficult to adapt to the scenario where the working bandwidth of multi-service frequency-using devices is irregular and the working priorities are different. In this paper, an orthogonal genetic algorithm based on the idea of mixed niches is proposed to transform the problem of frequency allocation into the optimization problem of minimizing the electromagnetic interference between frequency-using devices in the integrated network. At the same time, a system model is constructed that takes the minimum interference effect of low-priority-to-high-priority devices as the objective function and takes the protection frequency and natural frequency as the constraint conditions. In this paper, we not only introduce the thought of niches to improve the diversity of the population but also use an orthogonal uniform crossover operator to improve the search efficiency. At the same time, we use a standard genetic algorithm and a micro genetic algorithm to optimize the model. The global searchability and local search precision of the proposed algorithm are all improved. Simulation results show that compared with the existing methods, the proposed algorithm has the advantages of fast convergence, strong stability and good optimization effect.

Multi-Armed Bandit-Based User Network Node Selection

“…Next, derive the upper bounds for each of the above three terms, starting with the upper bound for Equation (1). Combined with the relationship stated in Definition 5, this is obtained from the properties of conditional probability and Lemma 1: The second equality sign above utilizes the property that 𝑝 𝑖,𝑡 is invariant given ℱ 𝑡−1 .…”

“…The Space-Air-Ground Integrated Network (SAGIN) integrates satellite systems, aerial networks, and terrestrial communication infrastructures [1], thereby enabling global, uninterrupted coverage. It holds considerable potential for application in scenarios such as disaster response, intelligent transportation systems, and the evolution towards 6G communication networks [2].…”

“…1 , and obviously 𝑥 𝑖 and 𝑦 𝑖 must exist. Define 𝐿 𝑖 (𝑇) = 𝑙𝑛𝑇/ 𝑑(𝑥 𝑖 , 𝑦 𝑖 ) , where 𝑑(𝑥 𝑖 , 𝑦 𝑖 ) = 𝑥 𝑖 𝑙𝑛(𝑥 𝑖 𝑦 𝑖 Bernoulli distributions with the parameters 𝑥 𝑖 and 𝑦 𝑖 , respectively, of the KL distance.…”