Modified Heuristic Computational Techniques for the Resource Optimization in Cognitive Radio Networks (CRNs)
نویسندگان
چکیده
With the advancement of internet technologies and multimedia applications, spectrum scarcity problem is becoming more acute. Thus, spectral-efficient schemes with minimal interference for IoT networks are required. Device-to-device communication (D2D) technology has potential to solve issue in future wireless networks. Additionally, throughput considered a non-convex NP-hard problem, heuristic approaches effective these scenarios. This paper presents two novel optimization D2D users quality service (QoS)-aware mobile (MU): modified whale colony algorithm (MWOA) non-domination sorted genetic (MNSGA). The performance proposed algorithms analyzed show that mode selection technique efficiently fulfills QoS requirements. Simulation results compared other understudied approaches.
منابع مشابه
Institutional Repository Mathematical optimization techniques for resource allocation in cognitive radio networks
Introduction of data intensive multimedia and interactive services together with exponential growth of wireless applications have created a spectrum crisis. Many spectrum occupancy measurements, however, have shown that most of the allocated spectrum are used inefficiently indicating that radically new approaches are required for better utilization of spectrum. This motivates the concept of opp...
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12040973