Interference management for spectral coexistence in a heterogeneous satellite network

Abstract

Summary With the advent of the fifth generation of mobile radio communication by 2020, there will be many challenges such as increasing service demand with low delay in providing billions of end users called the satellite mobile users. It is expected that terrestrial communication systems will be faced with a dense network having many small cells anywhere and anytime. Therefore, there are some remote regions in the world where terrestrial systems cannot provide any services to end users. Furthermore, because of lack of spectral resources, it is very important that the spectrum is shared between satellite systems and terrestrial equipment by a suitable solution to interference management. In this paper, a heterogeneous satellite network that includes low earth orbit (LEO) satellite constellation and terrestrial equipment is proposed to provide low delay services. In this type of structure, interference management based on transmission power control between LEO satellite systems and mobile users is very important for obtaining high throughput. Moreover, in order to mitigate interference, transmission power control is shown based on noncooperative Stackelberg game under many subgames through pricing‐based algorithm and convex optimization method. Finally, the simulation results show that the performance of this study's system model will be improved through the proposed algorithm.

Base station location generation algorithm for satellite‐terrestrial co‐existence studies

“…While sharing frequency bands is necessary to maximize spectrum utilization and facilitate the seamless integration of satellite and terrestrial services, this can result in co‐frequency interference towards satellites. This interference can lead to service interruption to the users that are out of reach of all terrestrial networks, causing severe economic impacts 1–3 . Consequently, bands are allocated to terrestrial services only after detailed sharing studies, which are conducted at the national regulatory level or the different working parties of the International Telecommunication Union (ITU) 4…”

Satellite Cluster Fault Diagnosis and Detection Analysis Based on Neural Network

“…Hajipour P uses an autoregressive fault monitoring model and a short-term memory recurrent neural network for satellite fault prediction. Both models can guarantee the monitoring accuracy of satellite faults under the condition of limited actual data [1]. Akyildiz IF believes that the completion of the mission can only be guaranteed when the satellite is in a stable state and safe operation, including the operation control subsystem.…”