Chapter Summary
Chapter Summary
Key Points
- 1.The broadcast channel models one-to-many communication
A single transmitter sends independent messages to multiple receivers, each observing a different noisy version of the transmitted signal. The capacity region β the set of simultaneously achievable rate tuples β is known in closed form only for degraded broadcast channels, where forms a Markov chain.
- 2.Superposition coding is the key achievability technique
The weak user's message is encoded as a coarse "cloud center" and the strong user's message as a fine "satellite." The weak user decodes only the cloud; the strong user decodes both layers via successive decoding. The capacity region is and over all .
- 3.The Gaussian BC has a clean closed-form capacity region
For the scalar Gaussian BC with noise variances , the capacity region is parameterized by a power-splitting ratio : and .
- 4.Superposition coding strictly outperforms TDMA
The superposition coding boundary is a convex curve that lies strictly above the TDMA straight line connecting the corner points. The gain is largest when users have very different channel qualities. This is the information-theoretic foundation for NOMA.
- 5.The converse uses the entropy power inequality
Bergmans' converse shows that Gaussian inputs are optimal for the Gaussian BC. The entropy power inequality β with equality iff both are Gaussian β is the essential tool that forces Gaussian optimality in the converse argument.
- 6.MAC-BC duality connects uplink and downlink
The capacity region of the Gaussian BC with total power equals the capacity region of the dual MAC with individual powers summing to . This duality extends to MIMO and is the computational basis for practical beamforming design. The MIMO BC capacity is achieved by dirty paper coding.
Looking Ahead
Chapter 16 treats the general (non-degraded) broadcast channel, where superposition coding alone is insufficient. Marton's coding scheme combines superposition with binning, and the MAC-BC duality provides the computational framework for the MIMO broadcast channel. Chapter 16 also introduces dirty paper coding β the capacity-achieving strategy for the MIMO BC β which connects directly to the precoding algorithms in Book telecom, Chapter 17.