Name
Abstract | ||
|---|---|---|
In this paper, we consider an energy efficient waveform design in integrated sensing and communication (ISAC) systems. The transmitted waveform simultaneously serves multiple communication users and estimates the parameters of a moving target. In order to improve its energy efficiency (EE) while guaranteeing target estimation performance, we maximize the EE of the emitted dual-use waveform, under a Cramer-Rao bound (CRB) constraint. However, the considered optimization problem is a fractional function that is highly non-convex. Thus, we firstly adopt fractional programming based on Dinkelbach' method and then, solve the sub-problem by leveraging semi-definite relaxation (SDR). Numerical results demonstrate superior performance than the benchmark and show the trade-off between EE and CRB. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/WCNC51071.2022.9771575 | 2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) |
Keywords | DocType | ISSN |
Integrated sensing and communication, energy efficiency maximization, non-convex optimization | Conference | 1525-3511 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaqi Zou | 1 | 0 | 1.35 |
| Yuanhao Cui | 2 | 0 | 1.01 |
| Yuyang Liu | 3 | 4 | 3.43 |
| Songlin Sun | 4 | 3 | 4.44 |