Open AccessEffect of spectrum sensing overhead on performance for cognitive radio networks with channel bonding
Author(s) -
Haruki Katayama,
Hiroyuki Masuyama,
Shoji Kasahara,
Yutaka Takahashi
Publication year - 2014
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2014.10.21
Subject(s) - cognitive radio , blocking (statistics) , overhead (engineering) , computer science , throughput , channel (broadcasting) , markov chain , computer network , markov process , telecommunications , wireless , mathematics , statistics , machine learning , operating system
In cognitive radio networks, secondary spectrum users detect available frequency channels by spectrum sensing. In general, the sensing time is communication overhead, and affects system's performance. In this paper, we theoretically consider the effect of sensing overhead on the system performance for cognitive radio networks with channel bonding. Specifically, we model the system with a multidimensional continuous-time Markov chain whose state is defined by the numbers of primary users, secondary users, and sensing users. The blocking probability, the forced termination probability and the throughput are derived. The analysis is validated by Monte Carlo simulation. Numerical examples show that the forced termination probability is not affected by sensing overhead, while the blocking probability and the throughput degrade with the increase in the sensing time. It is also shown that the optimal number of bonded sub-channels for the throughput performance significantly depends on the offered load from primary users