MIMODSA:Non-Pre-emptive Scheduling in Cognitive Radio Ad-Hoc Networks (CRAHNs)
Proceedings of the 2nd International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020)
15 Pages Posted: 2 Dec 2020
Date Written: November 24, 2020
Resource allocation and proficient practice of spectral frequencies to the cognitive consumers is remaining as a major apprehension in cognitive radio networks. Dynamic resource allocation can resolve the numerous research trials in CRAHNs with respect to spectrum access, allocation, and sharing. In the view of aforementioned research issue, dynamic resource allocation using non-pre-emptive scheduling is proposed by a combination of spectrum assignment and prioritization scheduling of secondary users in a cognitive wireless environment. This research work is proposing an algorithm for multiple input multiple output dynamic spectrum allocation using non-pre-emptive scheduling (MIMO-DSANPS) in CRAHNs is proposed. The simulation is performed on heterogeneous wireless environment and comparing our proposed algorithm with existing Dynamic Resource Allocation (DRA-CRN) algorithm and comparing the quality of service parameters, throughput, interference with sub-channels, packet drop and delay evaluation. As per the simulation study, the existing algorithm is improved with our proposed MIMO-DSANPS by 17% efficient in accessing the spectrum.
Keywords: Dynamic resource allocation (DRA), delay, MIMO, non-pre-emptive scheduling, packet drop radio (PDR), throughput.
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