61 research outputs found
On the Estimation of Channel State Transitions for Cognitive Radio Systems
Coexistence by means of shared access is a cognitive radio application. The
secondary user models the slotted primary users channel access as a Markov
process. The model parameters, i.e, the state transition probabilities
(alpha,beta) help secondary user to determine the channel occupancy, thereby
enables secondary user to rank the primary user channels. These parameters are
unknown and need to be estimated by secondary users for each channel. To do so,
the secondary users have to sense all the primary user channels in every time
slot, which is unrealistic for a large and sparsely allocated primary user
spectrum. With no other choice left, the secondary user has to sense a channel
at random time intervals and estimate the parametric information for all the
channels using the observed slots.Comment: 6 page
Performance Analysis of Cognitive Radio Systems with Imperfect Channel Knowledge
An analytical framework is established to characterize the effects such as time allocation and variation, arising due to the incorporation of imperfect channel knowledge, that are detrimental to the performance of the cognitive radio systems. In order to facilitate hardware deployment of a cognitive radio system, received power-based estimation, a novel channel estimation technique is employed for the channels existing between the primary and the secondary systems, thus fulfilling low-complexity and versatility requirements
On the Deployment of Cognitive Relay as Underlay Systems
The objective of this paper is to extend the idea of Cognitive Relay (CR).
CR, as a secondary user, follows an underlay paradigm to endorse secondary
usage of the spectrum to the indoor devices. To seek a spatial opportunity,
i.e., deciding its transmission over the primary user channels, CR models its
deployment scenario and the movements of the primary receivers and indoor
devices. Modeling is beneficial for theoretical analysis, however it is also
important to ensure the performance of CR in a real scenario. We consider
briefly, the challenges involved while deploying a hardware prototype of such a
system.Comment: 6 pages, 7 figures, 4 tables, accepted in Proceedings of CrownCom
2014, Oulu (Finland), June 2-4, 201
Sensing-Throughput Tradeoff for Interweave Cognitive Radio System: A Deployment-Centric Viewpoint
Secondary access to the licensed spectrum is viable only if interference is
avoided at the primary system. In this regard, different paradigms have been
conceptualized in the existing literature. Of these, Interweave Systems (ISs)
that employ spectrum sensing have been widely investigated. Baseline models
investigated in the literature characterize the performance of IS in terms of a
sensing-throughput tradeoff, however, this characterization assumes the
knowledge of the involved channels at the secondary transmitter, which is
unavailable in practice. Motivated by this fact, we establish a novel approach
that incorporates channel estimation in the system model, and consequently
investigate the impact of imperfect channel estimation on the performance of
the IS. More particularly, the variation induced in the detection probability
affects the detector's performance at the secondary transmitter, which may
result in severe interference at the primary users. In this view, we propose to
employ average and outage constraints on the detection probability, in order to
capture the performance of the IS. Our analysis reveals that with an
appropriate choice of the estimation time determined by the proposed model, the
degradation in performance of the IS can be effectively controlled, and
subsequently the achievable secondary throughput can be significantly enhanced.Comment: 13 pages, 10 figures, Accepted to be published in IEEE Transactions
on Wireless Communication
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