pith:3H3L2H6H
IoT and Massive Connectivity: Massive MIMO Optimization for IoT Connectivity in 5G and Beyond Networks
Massive MIMO optimization for IoT in 5G networks identifies an optimal balance among capacity, latency, and energy use through surveys of key techniques and supporting simulations.
arxiv:2605.16129 v1 · 2026-05-15 · cs.NI
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\pithnumber{3H3L2H6HJEELBO6M25MXYTO3HM}
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Record completeness
Claims
Simulation-based results reveal the trade-offs between capacity, latency, and energy utilization, indicating an optimal operating point that ensures optimal performance for diverse IoT applications.
The assumption that the surveyed techniques and simulation setups are representative of real-world dense IoT deployments and that the identified optimal operating points generalize beyond the specific scenarios modeled.
The paper reviews Massive MIMO techniques for IoT in 5G/B5G, covering pilot contamination, energy efficiency, user scheduling, channel estimation, hybrid beamforming, and ML-based allocation, with simulations illustrating capacity-latency-energy trade-offs.
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Receipt and verification
| First computed | 2026-05-20T00:01:54.052546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d9f6bd1fc74908b0bbccd7597c4ddb3b2cc5466e51b3fc508797a0b262f2d84b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3H3L2H6HJEELBO6M25MXYTO3HM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d9f6bd1fc74908b0bbccd7597c4ddb3b2cc5466e51b3fc508797a0b262f2d84b
Canonical record JSON
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