Title :
On the Capacity of Decode-and-Forward Relaying over Rician Fading Channels
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
Abstract :
In this letter, we derive the probability density function (PDF) and cumulative distribution function (CDF) of the minimum of two non-central Chi-square random variables with two degrees of freedom in terms of power series. With the help of the derived PDF and CDF, we obtain the exact ergodic capacity of the following adaptive protocols in a {decode-and-forward} (DF) cooperative system over dissimilar {Rician} fading channels: (i) constant power with optimal rate adaptation; (ii) optimal simultaneous power and rate adaptation; (iii) channel inversion with fixed rate. By using the analytical expressions of the capacity, it is observed that the optimal power and rate adaptation provides better capacity than the optimal rate adaptation with constant power from low to moderate signal-to-noise ratio values over dissimilar Rician fading channels. Despite low complexity, the channel inversion based adaptive transmission is shown to suffer from significant loss in capacity as compared to the other adaptive transmission based techniques over DF Rician channels.
Keywords :
Rician channels; channel capacity; cooperative communication; decode and forward communication; probability; protocols; radio transmitters; random processes; relay networks (telecommunication); CDF; DF; PDF; adaptive protocol; adaptive transmission based technique; channel inversion; cumulative distribution function; decode-and-forward cooperative system; decode-and-forward relaying capacity; degrees of freedom; dissimilar Rician fading channel capacity; exact ergodic capacity; noncentral Chi-square random variable; optimal rate adaptation; probability density function; signal-to-noise ratio; Adaptive systems; Capacity planning; Cooperative systems; Fading; Relays; Rician channels; Signal to noise ratio; Adaptive modulation; Rician fading; capacity; decode-and-forward relaying;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.050313.122813