Open AccessPartially observable Markov decision process‐based sensing scheduling for decentralised cognitive radio networks with the awareness of channel switching delay and imperfect sensing
Author(s) -
Hoan Tran Nhut Khai,
Koo Insoo
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.1260
Subject(s) - cognitive radio , partially observable markov decision process , computer science , channel (broadcasting) , throughput , scheduling (production processes) , schedule , markov process , imperfect , computer network , markov decision process , markov chain , real time computing , markov model , telecommunications , wireless , mathematical optimization , machine learning , statistics , linguistics , philosophy , mathematics , operating system
An optimal multi‐slot channel sensing schedule is proposed in this study that considers an opportunistic spectrum access with the awareness of channel switching delay and imperfect sensing. A practical case is considered where channel availability statistics are usually correlated in time slots and in frequency channels. The switching delays between channels, hardware constraints, and collision with other cognitive users are considered to find an optimal sensing order of the channels that maximises throughput of cognitive user. The optimal sensing order is obtained using the partially observable Markov decision process framework. Throughput of cognitive user, with and without channel sensing errors, is analytically derived and for each case an algorithm is developed. The proposed scheme mitigates the effect of channel sensing errors on the throughput. Performance of the proposed scheme is evaluated through simulations by comparing it with the existing schemes in the literature.