Litcius/Paper detail

Adaptive Bit/Power Allocation With Beamforming for Dual-Function Radar-Communication

Tuanwei Tian, Guchong Li, Hao Deng, Jianhua Lu

2022IEEE Wireless Communications Letters18 citationsDOI

Abstract

To enhance the bit error rate (BER) performance for the dual-function radar-communication (DFRC), we investigate the problem of adaptive bit/power allocation with beamforming. Firstly, we formulate the bit/power allocation problem as a BER minimization problem subject to the radar signal-to-interference-plus-noise ratio (SINR), sidelobe information (SLI), and available resource constraints. Secondly, we devise an alternation optimization algorithm that divides the non-convex minimization problem into several low-complexity and iteratively updated subproblems. Finally, simulation results show that better communication performance, in terms of BER, can be obtained compared to state-of-the-art algorithms.

Topics & Concepts

Computer scienceBit error rateBeamformingMathematical optimizationResource allocationRadarBit (key)MinificationSignal-to-noise ratio (imaging)Power (physics)Computational complexity theoryAlgorithmElectronic engineeringReal-time computingTelecommunicationsMathematicsDecoding methodsEngineeringComputer networkPhysicsQuantum mechanicsRadar Systems and Signal ProcessingDirection-of-Arrival Estimation TechniquesAdvanced SAR Imaging Techniques
Adaptive Bit/Power Allocation With Beamforming for Dual-Function Radar-Communication | Litcius