Title :
Power allocation for interference channels
Author :
Chaitanya A, Krishna ; Mukherji, Utpal ; Sharma, Vinod
Author_Institution :
Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore-560012, India
Abstract :
We propose power allocation algorithms for increasing the sum rate of two and three user interference channels. The channels experience fast fading and there is an average power constraint on each transmitter. Our achievable strategies for two and three user interference channels are based on the classification of the interference into very strong, strong and weak interferences. We present numerical results of the power allocation algorithm for two user Gaussian interference channel with Rician fading with mean total power gain of the fade Ω = 3 and Rician factor k = 0.5 and compare the sum rate with that obtained from ergodic interference alignment with water-filling. We show that our power allocation algorithm increases the sum rate with a gain of 1.66dB at average transmit SNR of 5dB. For the three user Gaussian interference channel with Rayleigh fading with distribution CN(0, 0.5), we show that our power allocation algorithm improves the sum rate with a gain of 1.5dB at average transmit SNR of 5dB.
Keywords :
Resource management; Signal to noise ratio; Augmented Lagrangian method; Ergodic interference alignment; Interference channel; Power allocation;
Conference_Titel :
Communications (NCC), 2013 National Conference on
Conference_Location :
New Delhi, India
Print_ISBN :
978-1-4673-5950-4
Electronic_ISBN :
978-1-4673-5951-1
DOI :
10.1109/NCC.2013.6487948