Combating Massive MIMO Channel Aging by Orthogonal Precoding

Zemen, Thomas; Löschenbrand, David

doi:10.1109/5gwf.2019.8911722

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…However, it was shown in [31] that all unitary matrices with constant modulus elements achieve the same diversity gain in terms of channel hardening. The beneficial combination of massive MIMO with OP for 6G V2X system is investigated and discussed in [32].…”

Section: B Massive Multiple-input Multiple-ouput (Mimo) For Reliable ...mentioning

confidence: 99%

Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks

Kilanioti

Rizzo

Masini

et al. 2022

2022 IEEE Conference on Standards for Communications and Networking (CSCN)

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The role of wireless communications in guaranteeing safe and resource-efficient intelligent transportation systems (ITS) is of great significance. With the advent of a new technological epoch in cellular network development, various novel technical solutions are being considered as key enablers for future 5G-beyond and 6G networks. In this position paper, we identify and discuss three key pillars in the wireless network evolution that we suppose to be the foundation for the practical deployment of mass ITS. We first show how edge-located solutions may help in data delivery, next we present the role of the integrated communications and sensing paradigm (ICAS) in vehicular communications, and finally, we concentrate on advances in cellular-based sidelink communications.

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Section: B Massive Multiple-input Multiple-ouput (Mimo) For Reliable ...mentioning

confidence: 99%

Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks

Kilanioti

Rizzo

Masini

et al. 2022

2022 IEEE Conference on Standards for Communications and Networking (CSCN)

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“…• In doubly selective channels, we propose to compensate for the lost spatial channel hardening of massive MIMO by improved time-frequency channel hardening due to OP [11].…”

Section: A Contributions Of the Papermentioning

confidence: 99%

Orthogonally Precoded Massive MIMO for High Mobility Scenarios

et al. 2019

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Massive multiple-input multiple-output (MIMO) systems are of high interest for ultrareliable low-latency communication (URLLC) links. They provide channel hardening, i.e. reduced channel variations, due to the large number of transmit antennas which exploit spatial diversity by beam-forming. Massive MIMO requires channel state information (CSI) on the base station side. For time-varying vehicular communication channels the CSI acquired during the uplink phase will be outdated for the following downlink phase, leading to reduced spatial channel hardening. We investigate a combination of massive MIMO with general orthogonal precoding (OP) to compensate this effect. OP uses two-dimensional precoding sequences in the time-frequency domain and provides channel hardening by exploiting time-and frequency diversity. We show that the combination of massive MIMO and OP is beneficial for time-varying communication channels. While the spatial channel hardening of massive MIMO decreases, the timefrequency channel hardening of OP increases with larger time-variance of the communication channel. An iterative receiver algorithm for massive MIMO with OP as well as a detailed analysis of the channel hardening effect is presented. We demonstrate a BER reduction by more than one order of magnitude for a velocity of 50 km/h = 16.6 m/s using the orthogonal frequency division multiplexing (OFDM) based 5G new radio (NR) physical layer.INDEX TERMS 5G, massive MIMO, orthogonal precoding, ultra-reliable low-latency communication (URLLC) links. I. INTRODUCTIONUltra-reliable low-latency wireless communication (URLLC) links are an important component for connected autonomous vehicles, industrial wireless control loops, and many other machine-to-machine communication applications [1]. The random fading process in wireless communication channels leads to signal strength fluctuations at the receive antenna and random unpredictable frame errors.Massive multiple-input multiple-output (MIMO) systems reach the capacity of multi-user MIMO systems by linear beam-forming over a large number of transmit antennaThe associate editor coordinating the review of this manuscript and approving it for publication was Jiankang Zhang.

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Combating Massive MIMO Channel Aging by Orthogonal Precoding

Cited by 2 publications

References 14 publications

Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks

Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks

Orthogonally Precoded Massive MIMO for High Mobility Scenarios

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