Integer-Forcing Message Recovering in Interference Channels
Journal article, 2018

In this paper, we propose a scheme referred to as integer-forcing message recovering (IFMR) to enable receivers to recover their desirable messages in interference channels. Compared to the state-of-the-art integer-forcing linear receiver (IFLR), our proposed IFMR approach needs to decode considerably less number of messages. In our method, each receiver recovers independent linear integer combinations of the desirable messages each from two independent equations. We propose an efficient polynomial-time algorithm to sequentially find the equations and integer combinations with maximum rates and analyze its complexity. We evaluate the performance of our scheme and compare the results with the minimum mean-square error linear receiver (MMSELR) and lattice-reduction-aided successive interference cancellation with signal-to-interference-plus-noise ratio maximizing preprocessing (LaR-aided SIC with SINR-Max), as well as the IFLR schemes. The results indicate that our IFMR scheme outperforms the MMSELR and LaR-aided SIC with SINR-Max schemes, in terms of achievable rate, considerably. Also, compared to the IFLR, the IFMR scheme achieves slightly less rates in moderate signal-to-noise ratios, with significantly less overall implementation complexity.

compute-and-forward

Interference channels

linear receiver

integerforcing

interference alignment

Author

Seyed Mohammad Azimi-Abarghouyi

Sharif University of Technology

Mohsen Hejazi

University of Kashan

Behrooz Makki

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Masoumeh Nasiri-Kenari

Sharif University of Technology

Tommy Svensson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN) 1939-9359 (eISSN)

Vol. 67 5 4124-4135

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TVT.2018.2789823

More information

Latest update

5/25/2018