Quasi-Static Multiple-Antenna Fading Channels at Finite Blocklength
By Wei Yang, Giuseppe Durisi, Tobias Koch, Yury Polyanskiy. IEEE Transactions on Information Theory, 2013
599 citations recorded by the source corpus.
This paper investigates the maximal achievable rate for a given blocklength and error probability over quasi-static multiple-input multiple-output fading channels, with and without channel state information at the transmitter and/or the receiver. The principal finding is that outage capacity, despite being an asymptotic quantity, is a sharp proxy for the finite-blocklength fundamental limits of slow-fading channels. Specifically, the channel dispersion is shown to be zero regardless of whether the fading realizations are available at both transmitter and receiver, at only one of them, or at neither of them. These results follow from analytically tractable converse and achievability bounds. Numerical evaluation of these bounds verifies that zero dispersion may indeed imply fast convergence to the outage capacity as the blocklength increases. In the example of a particular 1 × 2 single-input multiple-output Rician fading channel, the blocklength required to achieve 90% of capacity is about an order of magnitude smaller compared with the blocklength required for an AWGN channel with the same capacity. For this specific scenario, the coding/decoding schemes adopted in the LTE-Advanced standard are benchmarked against the finite-blocklength achievability and converse bounds.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e140fd65fd43151a6da8835879ce37e5e5f64dfe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Branka Vucetic
- Yonghui Li
- Petar Popovski
- Tobias Koch
- H. Vincent Poor
- Giuseppe Durisi
- Changyang She
- Chengjian Sun
In Electrical and Electronic Engineering
- Yonghui Li
- Petar Popovski
- Branka Vucetic
- H. Vincent Poor
- Giuseppe Durisi
- Chenyang Yang
- Tobias Koch
- Medhi Bennis
Citations in the corpus
- A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021, methodology): “From theoretical analytical tools and cross-layer optimization frameworks, we can obtain the performance limits on the tradeoffs among different KPIs [16], [56], [70].”
- Towards Massive, Ultra-Reliable, and Low-Latency Wireless Communication with Short Packets (2015, methodology): “It was shown that [21, Ths. 3 and 9] irrespective of the number of transmit and receive antennas, and irrespective of whether CSI is available to transmitter, receiver, or both.”