Capacity-Achieving Distributions in Gaussian Multiple Access Channel With Peak Power Constraints

@article{Mamandipoor2014CapacityAchievingDI,
  title={Capacity-Achieving Distributions in Gaussian Multiple Access Channel With Peak Power Constraints},
  author={Babak Mamandipoor and Kamyar Moshksar and Amir K. Khandani},
  journal={IEEE Transactions on Information Theory},
  year={2014},
  volume={60},
  pages={6080-6092}
}
This paper addresses a two-user Gaussian multiple access channel (MAC) under peak power constraints at the transmitters. It is shown that generating the code-books of both users according to discrete distributions with a finite number of mass points achieves the largest weighted sum-rate in the network. This verifies that any point on the boundary of the capacity region of a two-user MAC under peak power constraints at both transmitters is achieved by discrete distributions with a finite number… CONTINUE READING
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