Abstract

Adaptive-modulation transceivers have been widely used in wireless communications nowadays. The tradeoff between symbol error rate and data rate can be tuned by adjusting the constellation size. In this paper, we propose a constellation subset selection (CSS) approach and design the novel efficient approximation algorithms to tackle the CSS problems. The approximation ratios for these algorithms are derived. The theoretical studies on how to control the target symbol error rate by selecting an appropriate parameter K are also presented. Monte Carlo simulation results show that our CSS scheme really can reach below the target error probability.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.