Name
Abstract | ||
|---|---|---|
Resource management in the power and time–frequency domains is an important issue in distributed network localization. Since highly accurate ranging requires a large amount of time–frequency resources, cooperation among nodes without proper link selection may not be feasible. To address this issue, two resource management games are formulated, and Stackelberg equilibrium and link bargaining equilibrium are proposed as the solution concepts for efficient link selection and power allocation. Distributed algorithms are derived and analyzed using game theoretical approaches. It is demonstrated that the proposed strategies can achieve a lower mean squared error of position estimation with fewer ranging measurements. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSAC.2017.2659318 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
Resource management,Games,Distance measurement,Estimation,Position measurement,Game theory,Power measurement | Resource management,Distance measurement,Mathematical optimization,Computer science,Mean squared error,Distributed algorithm,Ranging,Game theory,Stackelberg competition | Journal |
Volume | Issue | ISSN |
35 | 2 | 0733-8716 |
Citations | PageRank | References |
4 | 0.39 | 34 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun-Ting Chen | 1 | 234 | 29.16 |
| Wenhan Dai | 2 | 222 | 17.69 |
| Yuan Shen | 3 | 1151 | 111.52 |
| Vincent K. N. Lau | 4 | 3650 | 270.15 |
| Moe Z. Win | 5 | 2225 | 196.12 |