First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005. 2005
DOI: 10.1109/dyspan.2005.1542690 View full text |Buy / Rent full text
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Abstract: Spectrum is one of the most precious radio resource. With the increasing demand for wireless communication, efficiently using the spectrum resource has become an essential issue. With the Federal Communications Commission's (FCC) spectrum policy reform, secondary spectrum sharing has become a viable option. One of the policy reforms introduces the concept of an interference temperature-the total allowable interference in a spectral band. This means that secondary users can use different transmit powers as long… Show more

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“…It should be noted that for a fixed set of values λ 1 > 0, λ 2 > 0 and λ 3 > 0, the optimal solutions of (21) form a Pareto front of (17). This establishes the equivalence between the optimal solutions of (17) and (21). We therefore solve Equation 21for the optimal rate, power, delay and channel allocation.…”
Section: Optimization Modelmentioning
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“…It should be noted that for a fixed set of values λ 1 > 0, λ 2 > 0 and λ 3 > 0, the optimal solutions of (21) form a Pareto front of (17). This establishes the equivalence between the optimal solutions of (17) and (21). We therefore solve Equation 21for the optimal rate, power, delay and channel allocation.…”
Section: Optimization Modelmentioning
“…It should be noted that the size of the weights λ 1 , λ 2 and λ 3 is an indication of the relative weight or importance put on total rate, total power and total transmission delay, respectively, during optimization. We thus come up with four different scenarios or cases explained in terms of the relative importance or weight put on all the three objective Equations (18)- (20) of the optimization problem (17). The first is when equal weight (λ 1 = λ 2 = λ 3 = 1…”
Section: Numerical Resultsmentioning
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