On the sum-capacity of Gaussian MAC with peak constraint

@article{Mamandipoor2012OnTS,
  title={On the sum-capacity of Gaussian MAC with peak constraint},
  author={Babak Mamandipoor and Kamyar Moshksar and Amir K. Khandani},
  journal={2012 IEEE International Symposium on Information Theory Proceedings},
  year={2012},
  pages={26-30}
}
This paper addresses a two-user Gaussian Multiple Access Channel (MAC) under peak constraints at the transmitters. It is shown that generating the code-books of both users according to discrete distributions achieves the largest sum-rate in the network. In other words, sum-capacity achieving input distributions for this channel are discrete with a finite number of mass points. We also demonstrate uniqueness of the input distributions which achieve rates at any of the corner points of the… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
12 Citations
13 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 13 references

On the sum-capacity of Gaussian MAC with peak constraint

  • B. Mamandipoor, K. Moshksar, A. K. Khandani
  • Technical Report,
  • 2012
Highly Influential
6 Excerpts

Real analysis and probability

  • R. M. Dudley
  • Cambridge University Press
  • 2002
Highly Influential
10 Excerpts

Functions of One Complex Variable I

  • J. B. Conway
  • Graduate Texts in Mathematics
  • 1973
Highly Influential
7 Excerpts

Smith,“On the information capacity of peak and average power constrained Gaussian channels,

  • J G.
  • Ph.D. dissertation., Dep. Elec. Eng., Univ. of…
  • 1969
Highly Influential
6 Excerpts

The capacity of discretetime memoryless rayleigh-fading channels,

  • I.C.A. Faycal, M. D. Trott, S. Shamai
  • Trans. Inform. Theory,
  • 2001
1 Excerpt

Capacity-achieving distributions for non-Gaussian additive noise channels,

  • A. Das
  • proc. IEEE Int. Symp. Information Theory…
  • 2000

Similar Papers

Loading similar papers…