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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mezghani, A. Damak, N. Nossek, J.A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute for Circuit Theory and Signal Processing, Munich University of Technology, 80290 Munich, Germany (Mezghani, A.; Damak, N.; Nossek, J.A.) |
| Abstract | We consider the maximization of the overall power efficiency when communicating over a noisy single-input single-output channel while satisfying a certain throughput constraint. The total power dissipation includes the transmit power as well as the analog circuit power consumption. In the context of battery operated short range communication, where low power, low cost and small size are key requirements (e.g. standard IEEE 802.15.4), this circuit aware system optimization is crucial given the growing importance of "Green Communication". In fact, the transmit power in such applications reaches values in the order of or is even smaller than the power dissipation of certain analog components along the signal path. Using an appropriate information-theoretic framework we derive the optimal bit-resolution of the Analog-to-Digital Converter (ADC), the optimal choice of the noise figure for the low noise amplifier (LNA) and the optimal operating input back-off (IBO) of the Power Amplifier (PA) as a function of the path-loss (i.e. the communication distance). This work is an extension to the work [1], where only the ADC and transmit power have been considered. |
| Starting Page | 869 |
| Ending Page | 873 |
| File Size | 149986 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424463152 |
| ISSN | 21540225 |
| e-ISBN | 9781424463176 |
| DOI | 10.1109/ISWCS.2010.5624403 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-19 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Power demand Bandwidth Receivers Optimization Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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