Abstract
Reliable and accurate position estimation of 'agent' nodes is essential for many wireless applications. Typically agents perform position estimation through ranging with respect to 'anchor' nodes with known positions. In range-based localization techniques, system accuracy and energy efficiency are affected by both transmit power and signal bandwidth. We thus investigate the joint power and bandwidth allocation (JPBA) problems in wireless localization networks. We first formulate a general optimization model, which is proved to be non-convex. An approximate algorithm based on single condensation method is proposed to solve the problem. We then formulate the robust counterpart of the problem in the presence of uncertainty of the agents' positions. An low complexity method is also proposed to solve the robust JPBA problem. Numerical results validate the accuracy and robustness of the proposed algorithms.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 442-447 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479941469 |
| DOIs | |
| State | Published - 12 Jan 2015 |
| Externally published | Yes |
| Event | 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 - Shanghai, China Duration: 13 Oct 2014 → 15 Oct 2014 |
Publication series
| Name | 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 |
|---|
Conference
| Conference | 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 13/10/14 → 15/10/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Geometric programming
- Network localization
- Resource allocation
- Robust optimization
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