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Conditions for a Monotonic Channel Capacity

Erik Agrell (Institutionen för signaler och system, Kommunikationssystem)
Ieee Transactions on Communications (0090-6778). Vol. 63 (2015), 3, p. 738-748.
[Artikel, refereegranskad vetenskaplig]

Motivated by results in optical communications, where the performance can degrade dramatically if the transmit power is sufficiently increased, the channel capacity is characterized for various kinds of memoryless vector channels. It is proved that for all static point-to-point channels, the channel capacity under an equal-power constraint is a nondecreasing function of power. As a consequence, maximizing the mutual information over all input distributions with a certain power is for such channels equivalent to maximizing it over the larger set of input distributions with upperbounded power. The channel coding theorem is formally proved for an equal-power constraint. For interference channels such as optical wavelength-division multiplexing systems, the primary channel capacity is always nondecreasing with power if all interferers transmit with identical distributions as the primary user. Also, if all input distributions in an interference channel are optimized jointly, then the achievable sum-rate capacity is again nondecreasing. The results generalize to the channel capacity as a function of a wide class of costs, not only power.

Nyckelord: Achievable rate, capacity-cost function, channel capacity, mutual information, nonlinear distortion, optical communications; Shannon limit



Denna post skapades 2015-04-21. Senast ändrad 2016-04-28.
CPL Pubid: 215521

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem

Ämnesområden

Kommunikationssystem

Chalmers infrastruktur