Predictor Antenna: A Technique to Boost the Performance of Moving Relays
Journal article, 2021

In future wireless systems, a large number of users may access the networks via moving relays (MRs) installed on top of vehicles. One of the main challenges of MRs is rapid channel variation which may make channel estimation, and its following procedures, difficult. To address these issues, various schemes are designed, among which predictor antenna (PA) is a candidate. The PA setup refers to a system with two (sets of) antennas on top of a vehicle, where the PA(s) positioned in front of the vehicle is(are) utilized to predict the channel state information required for data transmission to the receive antennas (RAs) aligned behind the PA. In this paper, we introduce the concept and the potentials of PA systems. Moreover, summarizing the field trials for PAs and the 3GPP attempts on (moving) relays, we compare the performance of different PA and non-PA methods for vehicle communications in both urban and rural areas with the PA setup backhauled through terrestrial or satellite technology, respectively. As we show, with typical parameter settings and vehicle speeds, a single-antenna PA-assisted setup can boost the backhaul throughput of MRs, compared to state-of-the-art open-loop schemes, by up to 50%.

channel state information

channel prediction

beamforming

5G

B5G

moving relay

V2X

integrated access and backhaul

Author

Hao Guo

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Behrooz Makki

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Ericsson

Dinh Thuy Phan Huy

Orange Labs

Erik Dahlman

Ericsson

Mohamed-Slim Alouini

King Abdullah University of Science and Technology (KAUST)

Tommy Svensson

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

IEEE Communications Magazine

0163-6804 (ISSN)

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

More information

Latest update

5/10/2021