Cooperative Spectrum Sensing For Cognitive Computer Science
The great developments in the field of wireless communications that has been accelerated by the commercial need for better services has led to the application of wireless systems in many fields of life. The effect of wireless technology is much widened, like for safety applications, home automation, smart grid control, medical wearable, embedded wireless devices, entertainment systems etc.
Direct and indirect surveillance of spectrum treatment has acknowledged the sequential and spatial accessibility of spectrum inside allocated frequency bands. This implies that spectrum deficiency is a becoming a main problem. Cognitive networks assure to tackle these spectrum deficiency problems by accommodating secondary (unlicensed) users, in the spectrum region which is under-utilized. Spectrum Sensing is the prime motivation for cognitive radio and ensures that secondary (unlicensed) users do not propose unbearable levels of interference to primary (licensed) users.
Cooperative Spectrum Sensing methodologies are still an open window of research. This effort/work centers the attention towards developing a methodology for establishment of grouping/clustering between secondary users cooperating with each other. The efficiency of this methodology depends upon the accuracy of fused decision related to the presence or absence of primary (licensed) user at a particular band. This methodology also depends on the factor that time taken in detecting the primary (licensed) user should be less enough so that decision in vacating the band by the CR could be taken in fewer time frames. This latter metric is known to be 'agility', which eventually comes with the outcome of minimum interference to primary users via their recognition before time.
List of Figures
Figure 1â€‘1 Spectrum Allocation Cycle
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