Effective Capacity in MIMO Channels With Arbitrary Inputs

verfasst von

Marwan Hammouda, Sami Akin, M. Cenk Gursoy, Jurgen Peissig

Abstract

Recently, communication systems that are both spectrum and energy efficient have attracted significant attention. Different from the existing research, we investigate the throughput and energy efficiency of a general class of multiple-input and multiple-output systems with arbitrary inputs when they are subject to statistical quality-of-service (QoS) constraints, which are imposed as limits on the delay violation and buffer overflow probabilities. We employ the effective capacity as the performance metric, which is the maximum constant data arrival rate at a buffer that can be sustained by the channel service process under specified QoS constraints. We obtain the optimal input covariance matrix that maximizes the effective capacity under a short-term average power constraint. Following that, we perform an asymptotic analysis of the effective capacity in the low signal-to-noise ratio and large-scale antenna regimes. In the low signal-to-noise ratio regime analysis, in order to determine the minimum energy-per-bit and also the slope of the effective capacity versus energy-per-bit curve at the minimum energy-per-bit, we utilize the first and second derivatives of the effective capacity when the signal-to-noise ratio approaches zero. We observe that the minimum energy-per-bit is independent of the input distribution, whereas the slope depends on the input distribution. In the large-scale antenna analysis, we show that the effective capacity approaches the average transmission rate in the channel with the increasing number of transmit and/or receive antennas. Particularly, the gap between the effective capacity and the average transmission rate in the channel, which is caused by the QoS constraints, is minimized with the number of antennas. In addition, we put forward the nonasymptotic backlog and delay violation bounds by utilizing the effective capacity. Finally, we substantiate our analytical results through numerical illustrations.

Organisationseinheit(en)

Institut für Kommunikationstechnik

Externe Organisation(en)

Syracuse University

Typ

Artikel

Journal

IEEE Transactions on Vehicular Technology

Band

67

Seiten

3252-3268

Anzahl der Seiten

17

ISSN

0018-9545

Publikationsdatum

04.2018

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Fahrzeugbau, Luft- und Raumfahrttechnik, Elektrotechnik und Elektronik, Angewandte Mathematik

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.48550/arXiv.1610.00185 (Zugang: Offen)
https://ieeexplore.ieee.org/ielaam/25/8338166/8141973-aam.pdf (Zugang: Offen)
https://doi.org/10.1109/TVT.2017.2779980 (Zugang: Geschlossen)