Part 5: System-Level Design and 6G Architecture
Chapter 24: Massive MIMO for ISAC
Research~260 min
Learning Objectives
- Formulate the monostatic and bistatic ISAC signal models and identify the shared degrees of freedom between communication and sensing
- State the three deployment flavors of ISAC (integrated, coexisting, cooperative) and the Liu–Masouros taxonomy
- Derive the capacity–distortion region for a joint communication-sensing channel and interpret the Pareto boundary
- Formulate beampattern synthesis under per-user SINR constraints as a semidefinite program in the transmit covariance
- Analyze how cell-free architectures improve target detection probability via multistatic diversity, and design the joint fronthaul for communication plus sensing
- Contrast OFDM-ISAC and OTFS-ISAC in terms of ambiguity function, delay-Doppler coupling, and high-mobility robustness
Sections
Prerequisites
Massive MIMO fundamentals: favorable propagation, channel hardening, linear precoding (MIMO Ch. 1, 4, 6)Cell-free massive MIMO: distributed access points, macro-diversity, fronthaul (MIMO Ch. 11, 13, 14, 15)Beamforming, steering vectors, and array geometry (Telecom Ch. 7; MIMO Ch. 20)Estimation theory: MLE, MMSE, Fisher information matrix and the Cramer–Rao bound (FSI Ch. 7, 9, 12)Detection theory: binary hypothesis testing, Neyman–Pearson, ROC curves (FSI Ch. 10)OFDM and OTFS waveforms (MIMO Ch. 10, OTFS Ch. 1–3)Semidefinite programming and convex relaxation for quadratic design problems (Telecom Ch. 16)
💬 Discussion
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