Abstract
This work presents a Soft Queuing Model (SQM) for number of active users present in a cognitive radio network (CRN) at some given instant. Starting with the existing cellular network where the upper limit for the number of channels and active users is well defined. The idea is then extended to the complicated scenario of CRNs where the upper limit is not deterministic for both the number of channels and the active users. Accordingly a probabilistic SQM is proposed under the condition that the number of channels and active cognitive users are both random variables. The proposed model will be useful to offer the level of reliability to the clients connected with CRN and hence to offer secure communication even on a cooperative CRN. The proposed model has been verified theoretically and simulations have been carried out in diversified set ups to evaluate the performance.
Highlights
Cognitive Radios (CR) seems to be the prominent area of research in future communication systems including 5G which is based on Massive MIMO and heterogeneous networks [1, 2]
In above section we have proposed a queuing model for cellular networks
The probability of the system to be in a particular state is evaluated on the basis of the rate α at which a new user appears in the system and the rate β at which an active user leaves the system
Summary
Cognitive Radios (CR) seems to be the prominent area of research in future communication systems including 5G which is based on Massive MIMO and heterogeneous networks [1, 2]. If we get the idea of cooperative users with a fusion centre operating in community in parallel with the primary networks and service providers, how much resources will be available to cognitive radio network is a basic question. This will link with the level of reliability that a cognitive radio network may offer to its clients. In case of the reliable communication on cognitive radio network, the question will be how many users are present at some given instant [11] and how many channels are available to accommodate these users [12]? In the document pj represents probability of j number of active users, while n and k are random variables representing, respectively, the available number of channels and number of active users for cognitive radio network
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