DocumentCode
712008
Title
Efficient aviation spectrum management through dynamic frequency allocation
Author
Jacob, Ponnu ; Madhukumar, A.S. ; Vinod, A.P.
Author_Institution
Nanyang Technol. Univ., Singapore, Singapore
fYear
2015
fDate
21-23 April 2015
Abstract
Dynamic frequency allocation enabled through cognitive spectrum sensing is being considered to replace the static spectrum allocation methodology in the aerospace domain as it promises a multitude of advantages in terms of spectral efficiency, seamless connectivity and enhanced capacity. This paper proposes an architecture for air-to-ground (A/G) communication system that enables dynamic frequency access for the aircrafts utilizing the spectrum sensing capabilities of the cognitive radio. Further it proposes an ingenious algorithm for efficient and interference-limited Time Frequency Unit (TFU) allocation to aircrafts within adjacent service volumes (SV). This is based on the interference volume penalty parameter that aims at curtailing the system wide interference score within acceptable ranges. Though the algorithm is developed with a focus for implementation in simulation environment, it could potentially be scaled to realtime aeronautical environment after extensive analysis and testing.
Keywords
aircraft communication; cognitive radio; frequency allocation; radiofrequency interference; signal detection; A/G communication; adjacent service volumes; aerospace domain; air-to-ground communication; aircraft dynamic frequency access; aviation spectrum management; cognitive radio; cognitive spectrum sensing; dynamic frequency allocation; enhanced capacity; interference volume penalty parameter; interference-limited time frequency unit; seamless connectivity; spectral efficiency; static spectrum allocation; Aerodynamics; Aircraft; Cognitive radio; Interference; Radio spectrum management; Resource management; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated Communication, Navigation, and Surveillance Conference (ICNS), 2015
Conference_Location
Herdon, VA
Print_ISBN
978-1-4673-7549-8
Type
conf
DOI
10.1109/ICNSURV.2015.7121239
Filename
7121239
Link To Document