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The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels

Jonathan Scarlett ; Vincent Y. F. Tan ; Giuseppe Durisi (Institutionen för signaler och system, Kommunikationssystem)
2016 IEEE International Symposium on Information Theory, ISIT 2016, Barcelona, Spain, 10-15 July 2016 (2157-8095). Vol. 2016-August (2016), p. 2664-2668.
[Konferensbidrag, refereegranskat]

We study the second-order asymptotics of informa- tion transmission using random Gaussian codebooks and nearest neighbor (NN) decoding over a power-limited additive stationary memoryless non-Gaussian channel. We show that the dispersion term depends on the non-Gaussian noise only through its second and fourth moments. We also characterize the second-order performance of point-to-point codes over Gaussian interference networks. Specifically, we assume that each user’s codebook is Gaussian and that NN decoding is employed, i.e., that interference from unintended users is treated as noise at each decoder.

Nyckelord: Decoding; Dispersions; Gaussian noise (electronic); Information theory; Gaussian interference; Information transmission; Nearest neighbors; Nearest-neighbor decoding; Non Gaussian channels; Non-Gaussian noise; Point to point; Second orders; Engineering main heading: Gaussian distribution

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Denna post skapades 2016-05-30. Senast ändrad 2017-02-17.
CPL Pubid: 237068


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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem (1900-2017)


Informations- och kommunikationsteknik
Hållbar utveckling
Elektroteknik och elektronik

Chalmers infrastruktur