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The design objective of the proposed protocol is to reduce the contention delay while maximizing the channel utilization.
The main benefit of the adaptive techniques consists in maximizing the channel capacity while minimizing the power consumption.
Typically, the design of the preamble signals focuses on minimizing the channel estimation error[3] or on maximizing the channel capacity under imperfect channel knowledge[4].
Other design criteria, such as maximizing the channel capacity [8] and minimizing the outage probability [13], are based on some specific channel estimation algorithms.
Considering the same framework, Ohno and Giannakis [15] provide a link between optimal training designs and maximizing the channel capacity lower bound similar to [11].
The first parameter aims at maximizing the channel utilization, the second parameter considers the delay requirement of a flow, while the third parameter delimits the end time of a traffic burst.
Similar(52)
As most previous works have been dedicated to maximize the channel efficiency, they were not able to meet QoS requirements of real-time applications in wireless networks.
First, maximize the channel utilization.
In [18], the energy allocation expression is derived to maximize the channel capacity in fading environment.
To maximize the channel utilization, it is needed to minimize the overhead caused by polling mechanisms.
Equation (5) shows a criterion that should be satisfied to maximize the channel capacity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com