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Improving Cognitive Radio Link Adaptation for Avoiding Interference with Passive Primary Users

Authors:
Dr.-Ing. Ali Haider Mahdi
Dr.-Ing. Oleksandr Artemenko
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
Typ:
Conferences
Status:
accepted
Date of publication
08/04/2014
Abstract:
The main challenge for Cognitive Radio Networks
(CRNs) is avoiding interference with PUs caused by unlicensed
access, especially in any disaster where the Cognitive Radio
(CR) nodes may lose the connection to the data base entity.
To cope with this challenge, each CR node depends on its
observations, such as Signal to Noise Ratio (SNR) and Signal
Strength (SS), to define the free channel. However, this scheme is
not efficient because there is a probability of interfering with
the passive licensed users. In this paper, we develop a link
adaptation approach in CR which estimates the distance to the
nearest passive primary user and adapts the link configuration
parameters to avoid any possible interference. The results show
an improvement in Signal to Interference plus Noise Ratio (SINR)
and Bit Error Rate (BER) at all possible passive primary users,
compared to the literature, without a degradation in the Quality
of Service (QoS) requirement of unlicensed users.
Bibtex