Title :
Distributed interference alignment with low overhead
Author_Institution :
School of Communication and Information Engineering, Xi´an University of Science and Technology, Xi´an China
Abstract :
Interference alignment (IA) has been shown to achieve the maximum achievable degrees of freedom in the interference channel. However, the overhead required is huge, which cannot be acceptable in a real environment. In this paper, based on closed-form IA solutions, a low overhead distributed interference alignment (LOIA) scheme is proposed for the K-user single-input single-output (SISO) interference channel, and extension to multiple antenna scenarios are also considered. Compared with the iterative interference alignment (IIA) algorithm proposed by Gomadam et al., the overhead of our LOIA scheme is greatly reduced. Simulation results show that the IIA algorithm is strictly suboptimal compared with our LOIA algorithm in the overhead-limited scenario.
Keywords :
"Integrated circuits","MIMO","Antennas","Interference channels","Receivers","Training"
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8918-8
DOI :
10.1109/ICSPCC.2015.7338912