Abstract
Energy-Efficient Resource Allocation and Spectrum Sensing for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm
Highlights
WITH the development of wireless communication technology, spectrum resources have become increasingly scarce
We can observe energy efficiency improve by secondary users (SUs) increase
It is due to the more chances are offered to cooperate when SUs increase in one PNet
Summary
WITH the development of wireless communication technology, spectrum resources have become increasingly scarce. CR users, which are referred to as secondary users (SUs), share wireless channels with licensed primary users (PUs) who have already been assigned a specified spectrum, as long as the interference to the PU is kept below present thresholds (called interference temperatures). Rapidly rising energy costs and increasingly rigid environmental standards have led to an emerging trend of addressing the energy efficiency of wireless communication technologies [Miao et al, 4]. CR plays an important role in improving the energy efficiency of wireless networks because, from the green communication perspective, the spectrum is a natural resource that should be shared rather than wasted. Because of its potential for performance improvement, multiradio access technology (multi-RAT) has recaptured the attention of researchers. It has been shown that performance can be improved by more effective resource utilization
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