Title :
Interference alignment with doubly layered signaling for constant SISO interference channels
Author :
Zhou, Huimin ; Razavi, Seyed Mohsen ; Ratnarajah, Tharm ; Sellathurai, Mathini
Author_Institution :
Heriot-Watt Univ., Edinburgh, UK
Abstract :
It has been conjectured by Høst-Madsen and Nosratinia that the K-user single-input single-output (SISO) complex Gaussian interference channels with constant channel coefficients have merely one degree of freedom (DoF) regardless of the number of users, i.e., K. Then, Cadambe and Jafar introduced the idea of interference alignment (IA) being able to achieve K/2 DoF in time-varying SISO interference channels. Moreover, their joint work with Wang settled the Høst-Madsen-Nosratinia conjecture in negative by using the idea of asymmetric complex signaling to achieve 1.2 DoF for K-user constant SISO interference channels. In this paper, a linear IA scheme for K-user constant SISO interference channels is proposed which could enable us to achieve K/4 DoF for almost all channel coefficients. This means that whenever K ≥ 5, the proposed scheme could achieve at least 1.25 DoF. The main idea of the proposed method relies on the linear IA using symbol extension by Cadambe-Jafar which is not effective for constant channels. However, we show that along with signal rotation across every two consecutive time slots to artificially build a random time-varying channel out of a constant channel, the proposed method can be directly applied to constant channels to achieve K/4 DoF.
Keywords :
Gaussian channels; radiofrequency interference; time-varying channels; wireless channels; DoF; Høst-Madsen-Nosratinia conjecture; SISO complex Gaussian interference channels; asymmetric complex signaling; constant channel coefficients; degree of freedom; doubly layered signaling; interference alignment; k-user constant SISO interference channels; k-user single-input single-output complex Gaussian interference channels; linear IA scheme; random time-varying channel; signal rotation; symbol extension; time-varying SISO interference channels; Artificial neural networks; Interference channels; MIMO; Receivers; Time-varying channels; Vectors; Constant SISO interference channels; doubly layered signaling; linear interference alignment;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638450