Optimized Precoders for Massive MIMO OFDM Dual Radar-Communication Systems

This paper considers the optimization of a dual-functional radar and communication (RadCom) system with the objective is to maximize its sum-rate (SR) and energy-efficiency (EE) while satisfying certain radar target detection and data rate per user requirements. To this end, novel RadCom precoder sc...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 69; no. 7; pp. 4781 - 4794
Main Authors: Temiz, Murat, Alsusa, Emad, Baidas, Mohammed W.
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Communication
Communications systems
Energy-Efficiency
Interference
massive MIMO
MIMO communication
OFDM
OFDM radar
Optimization
Orthogonal Frequency Division Multiplexing
Performance measurement
power allocation
Radar
radar and communication
Radar antennas
Radar detection
Radar targets
Receiving antennas
Resource management
Target detection
User requirements
ISSN:0090-6778, 1558-0857
Online Access:Get full text
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Summary:This paper considers the optimization of a dual-functional radar and communication (RadCom) system with the objective is to maximize its sum-rate (SR) and energy-efficiency (EE) while satisfying certain radar target detection and data rate per user requirements. To this end, novel RadCom precoder schemes that can exploit downlink radar interference are devised for massive multiple-input-multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. First, the communication capacity and radar detection performance metrics of these schemes are analytically evaluated. Then, using the derived results, optimum beam power allocation schemes are deduced to maximize SR and EE with modest computational complexity. The validity of the analytical results is confirmed via matching computer simulations. It is also shown that, compared to benchmark techniques, the devised precoders can achieve substantial improvements in terms of both SR and EE.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2021.3068485