Full-Duplex Amplify-and-Forward Relaying Under I/Q Imbalance

Samara, Lutfi; Gouissem, Ala; Hamila, Ridha; Hasna, Mazen O.; Al-Dhahir, Naofal

doi:10.1109/tvt.2020.2992308

Cited by 11 publications

(14 citation statements)

References 12 publications

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“…In [31], a comprehensive sum rate study has been performed to assess the influence of IQI in both the transmitter and the receiver on the generalized frequency division multiplexing wireless transmissions, and a compensatory mechanism based on pilots has been presented. An intriguing correlation between IQI and residual self-interference in a full-duplex AF relaying network has been emphasized in [32]. Two IQI compensation algorithms with channel awareness have been designed in [33,34] for use in DF multicarrier two-path consecutive relay schemes.…”

Section: Relevant Workmentioning

confidence: 99%

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Marey

Mostafa

2023

Electronics

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The process of amplify-and-forward (AF) relaying is essential to the improvement of both current and future wireless communication standards. Nevertheless, significant performance loss may be posed by in-phase and quadrature imbalance (IQI) caused by defects in radio frequency components. Prior studies into this research problem were restricted to uncoded broadcasts, even though error-correcting codes are frequently used in real applications. To this purpose, we develop a novel approach applicable to the destination terminal for estimating and compensating for IQI that occurs at the source, relay, and destination terminals. The proposed approach is explored in the context of coded emissions of AF single-carrier frequency domain equalization (SC-FDE) systems. In contrast to other methods for mitigating this radio frequency deflection at each node, the proposed system estimates and compensates for all IQI parameters and channel impulse responses simultaneously. With the use of an iterative expectation–maximization (EM) process, a maximum-likelihood (ML) solution to the problem is computed. At each round, the soft information supplied by the channel decoder is employed to create the a posteriori expectations of the sent data symbols, which are then fed into the estimation process as if they were training symbols. In addition, we address how to use the estimated parameters to perform the task of data detection. The offered predictor and detector exchange soft information in a sequential process, boosting the overall system effectiveness. The simulation results show that the proposed method is not only practicable but superior to the established methods.

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Section: Relevant Workmentioning

confidence: 99%

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Marey

Mostafa

2023

Electronics

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“…Hence, we define the basic relaying flow (BRF) transmission as the combination of source-relay (

) transmission and relay-destination (

) transmission by omitting the time synchronization problem. In addition, due to the shadowing effects, we assume that there is no direct transmission link from S to D as in [ 33 ]. Let

denote the set of nodes where N is the total number of nodes.…”

Section: System Modelmentioning

confidence: 99%

Optimal Achievable Transmission Capacity Scheme for Full-Duplex Multihop Wireless Networks

Khun

Lim

Tan

2022

Sensors

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Full-duplex (FD) communication has been attractive as the breakthrough technology for improving attainable spectral efficiency since the 5G mobile communication system. Previous research focused on self-interference cancellation and medium access control (MAC) protocol to realize the FD system in wireless networks. This paper proposes an optimal achievable transmission capacity (OATC) scheme for capacity optimization in the FD multihop wireless networks. In this paper, the proposed OATC scheme considers the temporal reuse for spectral efficiency and the spatial reuse with transmit power control scheme for interference mitigation and capacity optimization. OATC scheme controls the transmit power to mitigate interference and optimizes the transmission capacity, which leads to the optimal achievable network capacity. We conduct the performance evaluation through numerical simulations and compare it with the existing FD MAC protocols. The numerical simulations reveal that considering only the concurrent transmissions in the FD system does not guarantee optimal transmission capacity. Moreover, the hybrid mechanism, including the sequential transmissions, is also crucial because of the interference problem. Besides, numerical simulation validates that the proposed OATC scheme accomplishes the optimal achievable network capacity with lower interference power and higher achievable throughput than the existing MAC protocols.

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“…In addition, reference [513] studies impacts of frequencyflat receive IQ imbalance on full-duplex AF-based relay network. Even a low IQ imbalance significantly increases the residual SI power, degrading the performance.…”

Section: Iq Imbalance In Emerging/future Technologies 1) Mimo Systemsmentioning

confidence: 99%

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Mohammadian

Tellambura

2021

IEEE Access

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Wireless transceivers for mass-market applications must be cost effective. We may achieve this goal by deploying non-ideal low-cost radio frequency (RF) analog components. However, their imperfections may result in RF impairments, including phase noise (PN), carrier frequency offset (CFO), and in-phase (I) and quadrature-phase (Q) imbalance. These impairments introduce in-band and out-of-band interference terms and degrade the performance of wireless systems. In this survey, we present RF-impairment signal models and discuss their impacts. Moreover, we review RF-impairment estimation and compensation in singlecarrier (SC) and multicarrier systems, especially orthogonal frequency division multiplexing (OFDM). Furthermore, we discuss the effects of the RF impairments in already-established wireless technologies, e.g., multiple-input multiple-output (MIMO), massive MIMO, full-duplex, and millimeter-wave communications and review existing estimation and compensation algorithms. Finally, future research directions investigate the RF impairments in emerging technologies, including cell-free massive MIMO communications, nonorthogonal multicarrier systems, non-orthogonal multiple access (NOMA), ambient backscatter communications, and intelligent reflecting surface (IRS)-assisted communications. Furthermore, we discuss artificial intelligence (AI) approaches for developing estimation and compensation algorithms for RF impairments.

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Full-Duplex Amplify-and-Forward Relaying Under I/Q Imbalance

Cited by 11 publications

References 12 publications

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Estimation of IQI for AF Cooperative Single-Carrier Frequency Domain Equalization Systems Using Channel Decoder Feedback

Optimal Achievable Transmission Capacity Scheme for Full-Duplex Multihop Wireless Networks

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

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