PROJECT TITLE :
Improving the Cognitive Access Efficiency by Non-Uniform Bandwidth Allocation
In cognitive communication, dynamic sensing and opportunistic access enable secondary users to recognize and utilize the white areas of the licensed bandwidth. Most gift efforts specialise in planning smarter channel sensing and access algorithms for secondary users, with the aim of optimizing the overall throughput and bandwidth utilization potency, underneath the condition of not interfering with primary users' communication. But, as the transmissions of the first users are inherently random and unpredictable, sensing and sharing spectrum with the first users inevitably build the cognitive method of the secondary users advanced and ineffective. During this paper, a non-uniform bandwidth allocation scheme is proposed that regularizes the primary users' bandwidth occupancy pattern. The regularization isn't designed to reshape the primary users's traffic, but to enhance the sensing efficiency and throughput of the secondary users by optimizing the spectrum allocation. When the description of the new allocation theme, we have a tendency to demonstrate its performance by theoretic analysis. Then we have a tendency to verify the validity of the non-uniform theme with numerical simulations underneath non-fading and fading things respectively. Through comparisons with the traditional uniform bandwidth allocation theme, the non-uniform one shows higher sensing efficiency and better spectrum utilization because of lower sensing price and reduced bandwidth loss.
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