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In this paper, we present channel assignment mechanisms that aim at maximizing the spectrum efficiency.
As a cross-layer design problem, maximizing the spectrum efficiency is also an important consideration.
These results confirm that channel assignments for cognitive radios play a very important role in maximizing the spectrum utilization for CRNs.
The main resource allocation objectives in CR include but are also not limited to (1) minimizing the bit error rate, (2) minimizing the power consumption, (3) minimizing the interference, (4) maximizing the throughput, (5) improving the quality of service, (6) maximizing the spectrum efficiency, and (7) maximizing the user quality of experience.
Other factors contributing to the preferred choice of the access technology are addressed in[9], where aspects such as coverage, securing QoS for the requested service, minimizing the cost of delivering the service to the end user and maximizing the spectrum utilization by traffic packaging are considered to select the access technology.
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The SM maximizes the spectrum usage efficiency through monopolistic based price setting.
The objective of the resource allocation is to maximize the spectrum utilization.
Our objective is to maximize the spectrum holes utilization under the constraint of collision tolerable level.
Hence, we need to optimize the sensing parameters to maximize the spectrum efficiency.
Our aim is to maximize the spectrum holes utilization under the constraint of collision tolerable level.
The authors in [77] presented a Bayesian approach for spectrum sensing to maximize the spectrum utilization in CRNs.
More suggestions(15)
maximizing the spread
optimize the spectrum
optimizes the spectrum
maximize the spectrum
maximizing the storage
maximizing the amount
maximizing the transfer
maximizing the experience
maximizing the value
maximizing the revenue
maximizing the window
maximizing the land
maximizing the contrast
maximizing the Csum
maximizing the entropy
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