Hybrid Beamforming Design for Full-Duplex Millimeter Wave Communication

Satyanarayana, K.; El‐Hajjar, Mohammed; Kuo, Ping-Heng; Mourad, Alain; Hanzo, Lajos

doi:10.1109/tvt.2018.2884049

Cited by 136 publications

(124 citation statements)

References 42 publications

(73 reference statements)

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“…By properly designing the full-digital precoders, SI can also be suppressed along with the maximization of sum-rate [21,22]. Instead of full-digital precoding, as shown in [23], hybrid precoding is capable of achieving the SI reduction of upto 30 dB. However, to the best of our knowledge, on the joint design of desired signal transmission and SIC, all the beamforming based SIC methods presented so far only provide a fixed amount of SI reduction.…”

Section: A Related Workmentioning

confidence: 99%

Self-Interference Cancellation and Channel Estimation in Multicarrier-Division Duplex Systems With Hybrid Beamforming

Yang

Sun

2020

IEEE Access

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Design of full-duplex (FD) wireless systems faces many challenges, including selfinterference cancellation (SIC), capability to provide high capacity, high flexibility for operation, best usage of resources, etc. In this paper, we propose and investigate a multicarrier-division duplex (MDD) based hybrid beamforming system operated in FD mode, which is endowed with the advantages of both time-division duplex and frequency-division duplex. It also shares some merits of FD and allows to be free of self-interference (SI) in digital domain, but faces the same challenge of SI as the FD in analog domain. Hence in this paper, we first propose an adaptive beamforming assisted SI cancellation scheme with taking into account the practical requirement of analog-to-digital conversion (ADC). It can be shown that the proposed approach is capable of jointly coping with the desired signals' transmission and SI suppression. Then, channel estimation (CEst) in MDD/MU-MIMO system is proposed by exploiting the reciprocity between the uplink and downlink subcarrier channels that is provided by MDD. Correspondingly, the orthogonality-achieving pilot symbols are designed, and the least-square (LS) CEst as well as linear minimum mean-square error (LMMSE) CEst are derived. Finally, the performance of MDD/MU-MIMO systems employing the proposed SIC method is investigated, with respect to the SI cancellation capability, sum-rate potential, CEst performance, and the effect of CEst on the achievable performance. Our studies show that MDD/MU-MIMO provides an effective option for design of future wireless transceivers. INDEX TERMS Full-duplex, multicarrier-division duplex, self-interference cancellation, hybrid beamforming, channel estimation, least square, linear minimum mean square error.

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Section: A Related Workmentioning

confidence: 99%

Self-Interference Cancellation and Channel Estimation in Multicarrier-Division Duplex Systems With Hybrid Beamforming

Yang

Sun

2020

IEEE Access

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“…To mitigate this hardware limitation, full-analog beamforming can be employed, which however results in significant performance loss in comparison with the full-digital beamforming. In order to attain low-complexity transceivers while approaching the performance of full-digital beamforming, the principle of hybrid beamforming was proposed and widely studied [4]- [9]. In principle, hybrid beamforming divides the beamforming into an analog part and a digital part.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Assisted Adaptive Index Modulation for mmWave Communications

Liu

El‐Hajjar

et al. 2020

IEEE Open J. Commun. Soc.

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In this paper, we propose an orthogonal frequency-division multiplexing system supported by the compressed sensing assisted index modulation, termed as (OFDM-CSIM), applied to millimeter-wave (mmWave) communications. In the OFDM-CSIM mmWave system, information is conveyed not only by the classic constellation symbols but also by the on/off status of subcarriers, where the size of constellation symbols and the number of active subcarriers can be beneficially configured for maximizing the system's throughput. We conceive a machine learning (ML) assisted adaptive OFDM-CSIM mmWave system, which simultaneously benefits from the OFDM with index modulation (IM), compressed sensing (CS) and the hybrid beamforming techniques. Specifically, a ML-assisted link adaptation scheme is designed based on the k-nearest neighbors (k-NN) algorithm with the objective to maximize the system's throughput. Our studies show that the proposed ML-assisted link adaptation is capable of providing higher throughput than the conventional threshold-based link adaptation when different antenna structures are considered. Furthermore, the achievable data rates of four types of antenna arrays, including uniform linear array (ULA), uniform rectangular planar array (URPA), uniform circle planar array (UCPA) and uniform cylindrical array (UCYA), are investigated and compared over mmWave channels. The simulation results show that the UCYA achieves the highest data rate among these antenna arrays.

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“…Given that wide bandwidths will be used by mmWave systems, frequency-selective channels will likely be of concern. Existing BFC designs for mmWave FD, however, do not consider this frequency-selectivity, presenting designs for frequency-flat channels [3], [4]. While schemes such as orthogonal frequency-division multiplexing (OFDM) can transform a frequency-selective channel into a bank of frequencyflat subchannels, the existing BFC designs cannot be applied on a subcarrier basis due to the frequency-flat nature of the analog beamformer.…”

Section: Introductionmentioning

confidence: 99%

Beamforming Cancellation Design for Millimeter-Wave Full-Duplex

Roberts

Vishwanath

2019

2019 IEEE Global Communications Conference (GLOBECOM)

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The wide bandwidths offered at millimeter-wave (mmWave) frequencies have made them an attractive choice for future wireless communication systems. Recent works have presented beamforming strategies for enabling in-band fullduplex (FD) capability at mmWave even under the constraints of hybrid beamforming, extending the exciting possibilities of nextgeneration wireless. Existing mmWave FD designs, however, do not consider frequency-selective mmWave channels. Wideband communication at mmWave suggests that frequency-selectivity will likely be of concern since communication channels will be on the order of hundreds of megahertz or more. This has motivated the work of this paper, in which we present a frequency-selective beamforming design to enable practical wideband mmWave FD applications. In our designs, we account for the challenges associated with hybrid analog/digital beamforming such as phase shifter resolution, a desirably low number of radio frequency (RF) chains, and the frequency-flat nature of analog beamformers. We use simulation to validate our work, which indicates that spectral efficiency gains can be achieved with our design by enabling simultaneous transmission and reception in-band.

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Hybrid Beamforming Design for Full-Duplex Millimeter Wave Communication

Cited by 136 publications

References 42 publications

Self-Interference Cancellation and Channel Estimation in Multicarrier-Division Duplex Systems With Hybrid Beamforming

Self-Interference Cancellation and Channel Estimation in Multicarrier-Division Duplex Systems With Hybrid Beamforming

Machine Learning Assisted Adaptive Index Modulation for mmWave Communications

Beamforming Cancellation Design for Millimeter-Wave Full-Duplex

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