Citation:
IEEE International Symposium on Information Theory (ISIT 2018), 17-22 June 2018, Vail, Colorado, USA. [Proceedings], 5 p.
ISBN:
978-1-5386-4780-6
ISSN:
2157-8117
Sponsor:
The work of W. Huleihel was supported by the MIT - Technion Postdoctoral Fellowship. The work of Z. Goldfeld was supported by the Rothchild postdoctoral fellowship. The work of T. Koch has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement number 714161), from the Spanish Ministerio de Economíıa y Competitividad under Grants TEC2013-41718-R, RYC-2014-16332, and TEC2016-78434-C3-3-R (AEI/FEDER, EU), and from the Comunidad de Madrid under Grant S2103/ICE-2845. The work of M. Mokshay was supported by NSF grant #1409504.
Project:
info:eu-repo/grantAgreement/EC/H2020/714161 Gobierno de España. TEC2013-41718-R Gobierno de España. RYC-2014-16332 Gobierno de España. TEC2016-78434-C3-3-R (AEI/FEDER, EU) Comunidad de Madrid. S2103/ICE-2845
The capacity-achieving input distribution of the complex Gaussian channel with both average- and peak-power constraint is known to have a discrete amplitude and a continuous, uniformly-distributed, phase. Practical considerations, however, rThe capacity-achieving input distribution of the complex Gaussian channel with both average- and peak-power constraint is known to have a discrete amplitude and a continuous, uniformly-distributed, phase. Practical considerations, however, render the continuous phase inapplicable. This work studies the backoff from capacity induced by discretizing the phase of the input signal. A sufficient condition on the total number of quantization points that guarantees an arbitrarily small backoff is derived, and constellations that attain this guaranteed performance are proposed.[+][-]
Description:
Proceeding of: IEEE International Symposium on Information Theory (ISIT 2018)