CCSS: 2-Stage Stochastic Wireless System Optimization In the Field — NSF Award to Yale University (CT, $240,000)
Design/resource variables in wireless systems come in two special flavors: Short-term, dealing with dynamic and immediate decision-making to meet current demands or optimize instantaneous utility, and long-term, focusing on strategic planning over longer time horizons, optimizing a given wireless system in a certain st
| Award title | CCSS: 2-Stage Stochastic Wireless System Optimization In the Field |
|---|---|
| Award ID | 2431860 |
| Awardee | Yale University |
| City | NEW HAVEN |
| State | CT |
| Amount obligated | $240,000 |
| Principal investigator | Dionysios Kalogerias |
| Program | CSCS: Circuits and Systems for |
| Start date | 09/01/2025 |
| Abstract | Design/resource variables in wireless systems come in two special flavors: Short-term, dealing with dynamic and immediate decision-making to meet current demands or optimize instantaneous utility, and long-term, focusing on strategic planning over longer time horizons, optimizing a given wireless system in a certain statistical sense. As a matter of fact, short/long-term decision variables most frequently coexist in wireless system design, ultimately asking for joint management and distribution |
| Source | NSF Awards |
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