A Layered Lattice Coding Scheme for a Class of Three User Gaussian Interference Channels

Abstract

The paper studies a class of three user Gaussian interference channels. A new layered lattice coding scheme is introduced as a transmission strategy. The use of lattice codes allows for an "alignment" of the interference observed at each receiver. The layered lattice coding is shown to achieve more than one degree of freedom for a class of interference channels and also achieves rates which are better than the rates obtained using the Han-Kobayashi coding scheme.

8 pages, 4 figures

References in corpus (6)

• A New Outer Bound and the Noisy-Interference Sum-Rate Capacity for Gaussian Interference Channels
• The Approximate Capacity of the Many-to-One and One-to-Many Gaussian Interference Channels
• Interference Alignment and the Degrees of Freedom for the K User Interference Channel
• Gaussian Interference Networks: Sum Capacity in the Low Interference Regime and New Outer Bounds on the Capacity Region
• Lattices for Distributed Source Coding: Jointly Gaussian Sources and Reconstruction of a Linear Function
• Capacity Bounds for the Gaussian Interference Channel

Cited by in corpus (14)

• Real Interference Alignment with Real Numbers
• On the Degrees of Freedom of the Compound MIMO Broadcast Channels with Finite States
• Reliable Physical Layer Network Coding
• An Achievable rate region for the $3-$user interference channel based on coset codes
• On Beamformer Design for Multiuser MIMO Interference Channels
• Degrees of Freedom Region for an Interference Network with General Message Demands
• How to Compute Modulo Prime-Power Sums
• Computation Alignment: Capacity Approximation without Noise Accumulation
• The Capacity Region of the 3-User Gaussian Interference Channel with Mixed Strong-Very Strong Interference
• Nested Lattice Codes for Arbitrary Continuous Sources and Channels
• Real Interference Alignment and Degrees of Freedom Region of Wireless X Networks
• Achievable Rates for K-user Gaussian Interference Channels
• Self-Interference Cancellation in Multi-hop Full-Duplex Networks via Structured Signaling
• A Nonlinear Approach to Interference Alignment