pci int64 | rnti int64 | dl_cqi int64 | dl_ri float64 | dl_mcs int64 | dl_brate string | dl_ok int64 | dl_nok int64 | dl_bler_pct int64 | dl_bs int64 | ul_pusch_snr float64 | ul_rsrp float64 | ul_ri int64 | ul_mcs int64 | ul_brate string | ul_ok int64 | ul_nok int64 | ul_bler_pct int64 | ul_bsr int64 | ul_ta string | ul_phr int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 4,601 | 15 | 1 | 12 | 13k | 19 | 0 | 0 | 0 | 29.8 | -6.1 | 1 | 26 | 40.5k | 10 | 0 | 0 | 0 | 222n | 12 |
1 | 4,601 | 15 | 1 | 2 | 368 | 3 | 0 | 0 | 0 | 27 | -7.4 | 1 | 28 | 8.70k | 2 | 0 | 0 | 0 | 211n | 13 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.3 | -10.7 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 147n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 220n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 198n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 224n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 28.6 | -10.5 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 184n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 214n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 211n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 198n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 228n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 200n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 188n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.7 | -9 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 160n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 28.1 | -8.5 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 240n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 221n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 211n | 23 |
1 | 4,601 | 15 | 1 | 2 | 368 | 3 | 0 | 0 | 0 | 28.7 | -10 | 1 | 28 | 8.70k | 2 | 0 | 0 | 0 | 244n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 228n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 226n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 28.3 | -9.8 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 226n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 28.2 | -9.9 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 216n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 213n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 246n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 218n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 236n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 248n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 264n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 231n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 212n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.9 | -9.8 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 176n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 186n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 199n | 23 |
1 | 4,601 | 15 | 1 | 2 | 368 | 3 | 0 | 0 | 0 | 28.4 | -9.6 | 1 | 28 | 8.70k | 2 | 0 | 0 | 0 | 195n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 26.9 | -9.4 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 174n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 200n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 202n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 221n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.4 | -9.3 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 247n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 224n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 227n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | -9.4 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 255n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 226n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.9 | -9.4 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 228n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 199n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 201n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 225n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 208n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 26.9 | -10.4 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 178n | 23 |
1 | 4,601 | 15 | 1 | 2 | 368 | 3 | 0 | 0 | 0 | 28.4 | -9.5 | 1 | 28 | 8.70k | 2 | 0 | 0 | 0 | 177n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 217n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.3 | -10.1 | 1 | 28 | 8.70k | 2 | 0 | 0 | 0 | 201n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 217n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 216n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 202n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 206n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 220n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 225n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 235n | 23 |
1 | 4,601 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 253n | 23 |
1 | 4,602 | 15 | 1 | 5 | 4.7k | 9 | 0 | 0 | 0 | 27.7 | -10.9 | 1 | 23 | 17.3k | 4 | 0 | 0 | 0 | -763p | 23 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -7n | 23 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3n | 23 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 17n | 23 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 21n | 23 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 35n | 23 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 30.7 | -10.7 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 22n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -14n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -54n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31.5 | -10.6 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | -78n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -39n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 30.3 | -10.9 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | -45n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -16n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -11n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 29.1 | -11.1 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | -16n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 21n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 29.1 | -11.3 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | 14n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 28n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -3n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -20n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -62n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -55n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31.5 | -10 | 1 | 28 | 4.35k | 1 | 0 | 0 | 0 | -78n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -47n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -39n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -45n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -51n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -18n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -19n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -20n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -407p | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 15n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 22n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -85n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -79n | 21 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 27.5 | -8.7 | 1 | 28 | 8.70k | 2 | 0 | 0 | 0 | -63n | 20 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -53n | 20 |
1 | 4,602 | 15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -48n | 20 |
Twin6G — Over-the-Air 5G NR PHY Dataset
Real over-the-air 5G NR measurements for the Twin6G project: raw radio-frequency samples and physical-layer telemetry of a live standalone 5G cell serving a commercial phone. Unlike simulator traces (for example UERANSIM), every recording here is a genuine radio observation, so it carries true physical-layer (Layer 1) information.
Each run is self-contained in a timestamped directory and provides two paired tiers captured in the same session:
- Tier 1 — raw IQ: the rawest possible form, complex baseband samples of the cell sniffed off the air.
- Tier 2 — PHY telemetry: per-UE radio metrics from the base station and radio measurements reported by the phone, plus the control-plane and MAC packet captures.
Provenance
All data is measured, over the air. It is collected on a software-defined radio testbed, not simulated.
Each run directory carries a run_info.yaml and a timeline.ndjson with exact timing, hardware serials,
configuration, and ground-truth events (attach, each IQ burst, teardown). The IQ and the base-station and
phone metrics are simultaneous observations of the same live cell.
Runs
| run_id | duration | band / carrier | UE | label |
|---|---|---|---|---|
2026-10-15T1621Z_poco-n41-phy |
20 min (2026-10-15 16:21:52–16:42:00 UTC) | n41 TDD, ARFCN 518670 = 2593.35 MHz, 20 MHz, 30 kHz SCS | Xiaomi Poco (COTS phone) | benign single-cell baseline |
Testbed for this run
- Core: Open5GS (standalone 5G core), PLMN 99970.
- gNB: srsRAN Project (release 25.10), PCI 1, on a USRP B210.
- UE: a real Xiaomi Poco phone, SIM on PLMN 99970, attached over the air and kept RRC-connected with light background traffic.
- Sniffer: a second USRP B210 tuned to the same 2593.35 MHz carrier, recording raw IQ while the cell ran.
Directory layout (per run)
<run_id>/
tier1_iq/ raw IQ bursts (.sc16) + SigMF sidecars (.sigmf-meta)
tier2_metrics/ gnb_sched_ue.csv, ue_nr_adb.csv, ue_adb.ndjson
pcap/ gnb_mac.pcap (MAC-NR), gnb_ngap.pcap (NGAP + 5G NAS)
logs/ srsRAN console + srslog, per-burst sniffer logs, phone radio logcat, keepalive ping
config/ exact Open5GS core and srsRAN gNB configs used
meta/ final size report
run_info.yaml run metadata
timeline.ndjson ground-truth event timeline (UTC)
Tier 1 — raw IQ (tier1_iq/)
Duty-cycled over-the-air capture of the live cell: a 2-second burst every 20 seconds across the whole run, so samples span the full session at a practical size. For the run above: 46 bursts, ~7.9 GB.
iq_<utc>_c<freq>_r<rate>.sc16— interleaved signed 16-bit complex samples (I, Q, I, Q, …), little-endian. One 2-second burst = 46,080,000 complex samples = 184.32 MB. Sample rate 23.04 Msps, center frequency 2593.35 MHz.iq_<utc>_c<freq>_r<rate>.sigmf-meta— a SigMF metadata sidecar (core:datatype: ci16_le, sample rate, center frequency, hardware serial, UTC datetime, label).
Read one burst in Python:
import numpy as np
x = np.fromfile("iq_….sc16", dtype=np.int16).astype(np.float32).view(np.complex64)
fs, fc = 23.04e6, 2593.35e6 # sample rate, center frequency
Typical uses: RF fingerprinting (carrier-frequency offset, IQ imbalance, phase noise), synchronization-signal (SSB / PSS-SSS) analysis, spectrograms, and physical-layer inputs to a digital-twin or anomaly model.
Tier 2 — PHY telemetry (tier2_metrics/, pcap/)
gnb_sched_ue.csv — per-UE physical-layer metrics from the base-station scheduler:
| column | meaning |
|---|---|
pci, rnti |
cell identity, UE radio identifier |
dl_cqi, dl_ri, dl_mcs, dl_brate |
downlink channel quality, rank, modulation-and-coding, bitrate |
dl_ok, dl_nok, dl_bler_pct |
downlink HARQ ACK / NACK and block error rate |
ul_pusch_snr, ul_rsrp |
uplink SNR and received power at the base station |
ul_ri, ul_mcs, ul_brate, ul_ok, ul_nok, ul_bler_pct |
uplink rank, MCS, bitrate, HARQ, BLER |
ul_bsr, ul_ta, ul_phr |
buffer status, timing advance, power headroom |
ue_nr_adb.csv — the phone's own NR radio measurements, polled every 2 seconds over adb:
| column | meaning |
|---|---|
ts, reg |
timestamp, registration state |
ss_rsrp, ss_rsrq, ss_sinr |
synchronization-signal received power, quality, SINR (the UE's downlink view) |
csi_rsrp, csi_rsrq, csi_sinr |
CSI-RS equivalents when reported |
ue_adb.ndjson is the raw per-poll source for that CSV. The tier2_metrics/*.csv are derived from the raw
logs and can be regenerated.
Packet captures (pcap/): gnb_mac.pcap is MAC-NR (per-transport-block MCS, grants, HARQ);
gnb_ngap.pcap is NGAP control plane and contains the 5G NAS (5GMM) signaling, including the full
registration sequence (Registration Request, Authentication Request/Response, Identity Request/Response,
Security Mode Command). Read with Wireshark or tshark -r gnb_ngap.pcap -Y nas-5gs.
Loading in datasets
The IQ files are binary and are referenced by their SigMF sidecars; load them with NumPy as shown above. The CSV metrics are exposed as dataset-viewer configs:
from datasets import load_dataset
gnb = load_dataset("<your-username>/Twin6G", "gnb_metrics") # per-UE PHY metrics
ue = load_dataset("<your-username>/Twin6G", "ue_nr") # phone-side NR measurements
Intended uses
- Physical-layer feature extraction and RF fingerprinting of 5G base stations.
- Training and validating digital-twin / anomaly models on real radio telemetry.
- Fusing physical-layer features with higher-layer (NAS / RRC) detectors, for example to reduce false positives in fake-base-station detection.
Limitations and honest notes
- Benign only. This run is a single legitimate cell. It is not a fake-base-station capture; that requires a separate two-transmitter benign-versus-fake handover scenario.
- IQ is duty-cycled, 2 seconds every 20 seconds. It spans the full run but totals about 92 seconds of samples per 20-minute run, not continuous. This bounds storage and avoids radio contention with the live cell.
- A minority of IQ bursts logged a transient hardware overflow (a few dropped samples at the start of the
burst). Files are full-size and usable; the per-burst sniffer logs in
logs/record which bursts. - Identifiers are test values on a private PLMN (99970). Subscriber keys are not included; the UE config in
config/has credentials stripped.
Citation
Part of the Twin6G project (digital twin for 5G/6G). If you use this dataset, please cite the project and link this repository.
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