Spectrum handoff algorithm with imperfect spectrum sensing incognitive radio networks

Bin Ma; Xiao-min Bao; Xian-zhong Xie

doi:10.1117/12.2262337

7 October 2016 Spectrum handoff algorithm with imperfect spectrum sensing incognitive radio networks

Bin Ma, Xiao-min Bao, Xian-zhong Xie

Proceedings Volume 9902, Fourth International Conference on Wireless and Optical Communications; 99020J (2016) https://doi.org/10.1117/12.2262337
Event: Fourth International Conference on Wireless and Optical Communications, 2016, Beijing, China

Abstract

To guarantee the quality of service of licensed users, the unlicensed users must vacate the occupied channel by spectrum handoff if licensed users appear in the licensed spectrum. However, spectrum sensing with false alarm and missed detection may lead to more inaccuracy problems when unlicensed users perform spectrum handoff. To improve the problems mentioned before, we utilize PRP M/G/1 queuing network model to propose a spectrum handoff algorithm with error data retransmission mechanism and analyze its performance by transmission delay and extended data delivery time. In addition, we discuss the relationship between false alarm probability, extended data delivery time and user traffic load and verify the effectiveness of the proposed algorithm.

Citation Download Citation

Bin Ma, Xiao-min Bao, and Xian-zhong Xie "Spectrum handoff algorithm with imperfect spectrum sensing incognitive radio networks", Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020J (7 October 2016); https://doi.org/10.1117/12.2262337

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available