Chapter 23: Gaussian Relay Networks

Learning Objectives

• Compute DF and CF achievable rates for the Gaussian relay channel and compare with the cut-set bound
• Understand the constant-gap result: CF achieves within 0.5 bits of the cut-set bound for the Gaussian relay channel
• State the Gupta-Kumar scaling law and explain why per-node throughput vanishes in large ad hoc networks
• Understand the Ozgur-Leveque-Tse hierarchical MIMO result and how cooperation achieves linear scaling
• Master the noisy network coding scheme and its universality for general relay networks