Database-Assisted Distributed and Cloud-Based Access Methods for Unlicensed and Radar Bands

Abstract

This paper focuses on the design of methods which enable unlicensed devices to use the frequency spectrum already allocated to rotating radar systems without causing interference to those radars. We first present a database-assisted spectrum sharing/co-existence mechanism for radar spectrum bands. This mechanism takes into account the real spectrum usage behavior of different radars, and is also implemented by prototyping a real-time rotating radar beam emulator, a radar spectrum database using MySQL software, and spectrum access algorithm on Wireless Open Access Research Platform. Then we propose a cloud-based unified channel access (UCA) method and a distributed UCA method for coexistence of multiple competing users in unlicensed and rotating radar spectrum bands. We model the UCA problem as a game and propose iterative methods (i.e., algorithms) to obtain the solution of the game. We study the stability of the proposed methods under several different scenarios. We show that the proposed UCA game is a potential game, and also show that the proposed methods guarantee convergence to a Nash Equilibrium. Our results show that the cloud-based method allows fast convergence and can achieve performance that is close to optimal solution.

Proactive Radar Protection System in Shared Spectrum via Forecasting Secondary User Power Levels

“…The detailed implementation of an FPGA-based spectrum monitoring ESC sensor for shared access with rotating radars, which is highspeed and low-cost compared to other ESCs, is proposed in [16]. Upon receiving the alert of interference exceeding the limit from the ESC sensor implemented at the radar, the spectrum manager in the REM repository updates the sharing rules based on the utilized spectrum sharing model [7]. It also introduced two different database-assisted spectrum sharing mechanisms such as a distributed unified channel access (UCA) method and a cloud-based UCA method.…”

“…Nevertheless, DFS and DFS-T require sensing the signal and tracking the rotation of a weather radar which is found out to be with quasi-VOLUME , 2021 periodic rotation in [6]. Hence, a recent study [7] recommended to use of advanced cloud-based technologies such as a Radio Environment Map (REM) repository with an online database to receive the interference information from sensors and a spectrum manager to execute the dynamic temporal spectrum sharing. Most of the frameworks currently used for radar protection depend mainly on the spectrum monitoring sensors called environmental sensing capability (ESC).…”

“…ESC equipment is deployed in the vicinity of the protection zones to accurately detect incumbent user transmissions [8]. Moreover, there is an extended version of ESC which can do multi-functions such as detecting the presence of radar, measuring any interference from secondary users for incumbent protection, and measuring airtime utility of secondary users [7]. These sensors can periodically update the interference information at the radar and send an alert to the cloud-based REM repository in case exceeding the interference limit.…”

Confidence Aware Deep Learning Driven Wireless Resource Allocation in Shared Spectrum Bands

“…where B i and SINR i denote the bandwidth and the SINR of α i on channel k respectively, Âk i denotes the CU demand of α i on channel k (which is generated by the applications running on the devices connected to α i ), and A k i is the CU obtained by α i allocated to channel k. A k i can be calculated as [28],…”