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In what follows, for simplicity, we shall ignore the interaction constraint and focus on the fair share constraint.
These additional conditions may include some kind of an interaction constraint (such as that the agent "mixed her labor" with the resource or that she was the first to discover the resource) and some kind of "fair share" constraint.
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This is why the scientific literature has focused on different ways to take in account experts' (subjective) opinions or to set additional relative weight constrictions (e.g. pie share constraints).
Radical right libertarianism advocated, for example, by Rothbard (1978 , 1982, Narveson (1988: ch. 7; 1999), and Feser (2005)—holds that that there are no fair share constraints on use or appropriation.[1] Agents may appropriate, use, or even destroy whatever natural resources they want (as long as they violate no one's self-ownership).
We design QPSK waveforms with spectrum sharing constraints for stationary and moving radar platform.
Only spectrum sharing constraints are imposed on the games in most of existing study.
We propose algorithms that solve the respective optimization tasks associated with the popular max-min and proportional fair sharing constraints.
The main idea of Lagrangian relaxation is to add shared constraints to each subproblem and update multipliers [13].
Furthermore, and starting from a ratio δ p >2, the obtained capacity is comparable to the performance in the conventional case with no spectrum sharing constraints.
The contribution is the derivation of the optimal pricing for transmit power minimization under minimum utility requirements and spectrum sharing constraints.
Motivated by the great benefits acquired through cognitive radio and cooperative techniques, several works analyzed the performance of cooperative cognitive networks under spectrum sharing constraints, as for instance [18 29].
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