Name
Abstract | ||
|---|---|---|
Wireless positioning systems that are implemented by means of a Cloud Radio Access Networks (C-RANs) may provide cost-effective solutions, particularly for indoor localization. In a C-RAN, the baseband processing, including localization, is carried out at a centralized control unit (CU) based on quantized baseband signals received from the RUs over finite-capacity fronthaul links. In this paper, the problem of maximizing the localization accuracy over fronthaul quantization/compression is formulated by adopting the Cram´er-Rao bound (CRB) on the localization accuracy as the performance metric of interest and information-theoretic bounds on the compression rate. The analysis explicitly accounts for the uncertainty of parameters at the CU via a robust, or worst-case, optimization formulation. The proposed algorithm leverages the Charnes-Cooper transformation and Difference-of-Convex (DC) programming, and is validated via numerical results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TVT.2015.2431491 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
cloud radio access networks (c-rans),cramer-rao bound (crb),localization,quantization | Baseband,Data compression ratio,Computer science,Performance metric,Electronic engineering,Robustness (computer science),Control unit,Quantization (signal processing),Radio access network,Cloud computing | Journal |
Volume | Issue | ISSN |
PP | 99 | 0018-9545 |
Citations | PageRank | References |
7 | 0.50 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seongah Jeong | 1 | 19 | 3.47 |
| Osvaldo Simeone | 2 | 3574 | 264.99 |
| Alexander M. Haimovich | 3 | 618 | 69.28 |
| Joonhyuk Kang | 4 | 407 | 64.13 |