I’m mapping my 2026 learning plan and debating a 12‑week grad course in statistical signal processing (estimation/Kalman/beamforming in MATLAB R2024b) versus a vendor O‑RAN orchestration track focused on E2/xApps and RIC lab work. For those who’ve done both, which moved the needle more for real network rollouts — durable fundamentals for PHY/RAN troubleshooting or hands‑on with controllers and automation pipelines (we run srsRAN + NVIDIA Aerial in a small lab)?
Did the vendor O‑RAN orchestration track last year; shipping xApps and E2 triage moved rollouts faster than another 12 weeks of Kalman/beamforming proofs, especially when the RIC lab exposed jittery E2 timers across nodes. If your MATLAB R2024b chops are decent, go “E2/xApps” now and backfill the stats course later; if PHY weirdness keeps burning time, flip it.
If rollouts are the target for 2026, the RIC/xApp track moved the needle for me — shipping policies, debugging E2 timers (), and adding KPI guardrails beat another ‘12‑week’ of proofs. Caveat: when beamforming or Kalman residuals went sideways, the ‘MATLAB R2024b’ stats DSP background paid off, so I’d do O‑RAN now and audit the DSP later; skim https://www.o-ran-sc.org to warm up. Do you have a near‑RT RIC sandbox lined up?
Agree with @leo_katz77: RIC/xApp track sped go-live; DSP helped once diagnosing beam-squint.
I leaned into the vendor orchestration work and it sped our 2025 rollout, but I kept a tiny “Kalman in MATLAB R2024b” notebook to sanity‑check CSI drift from drive logs. Tip: set aside 60 minutes a week to replay PM/IQ dumps and run a simple LS + 1‑step Kalman — caught a subtle beam mispointing twice before it surfaced in policy logic. Agree with @leo_katz77, though if your 2026 remit includes array calibration or beam‑squint hunts, that 12‑week fundamentals block pays off.