Asymptotic Capacity Results for Non-Stationary Time-Variant Channels Using Subspace Projections
| dc.creator | Zemen, Thomas | |
| dc.creator | Moser, Stefan M. | |
| dc.date | 2005-05-10 | |
| dc.date.accessioned | 2026-07-07T08:15:27Z | |
| dc.date.available | 2026-07-07T08:15:27Z | |
| dc.description | In this paper we deal with a single-antenna discrete-time flat-fading channel. The fading process is assumed to be stationary for the duration of a single data block. From block to block the fading process is allowed to be non-stationary. The number of scatterers bounds the rank of the channels covariance matrix. The signal-to-noise ratio (SNR), the user velocity, and the data block-length define the usable rank of the time-variant channel subspace. The usable channel subspace grows with the SNR. This growth in dimensionality must be taken into account for asymptotic capacity results in the high-SNR regime. Using results from the theory of time-concentrated and band-limited sequences we are able to define an SNR threshold below which the capacity grows logarithmically. Above this threshold the capacity grows double-logarithmically. | |
| dc.description | 14 pages, 1 figure | |
| dc.identifier | https://arxiv.org/abs/cs/0505020 | |
| dc.identifier | http://arxiv.org/abs/cs/0505020 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/133451 | |
| dc.subject | Information Theory | |
| dc.title | Asymptotic Capacity Results for Non-Stationary Time-Variant Channels Using Subspace Projections | |
| dc.type | text |