Full-Duplex GFDM Radio Transceivers in the Presence of Phase Noise, CFO and IQ Imbalance

Mohammadian, Amirhossein; Tellambura, Chintha

doi:10.1109/icc.2019.8761894

Cited by 12 publications

(10 citation statements)

References 17 publications

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“…Phase noise is shown to exacerbate ICI and ISI terms and degrade the system's SIR performance. Moreover, GFDM full-duplex transceivers and cognitive radio networks with phase noise, CFO and IQ imbalances are studied in [13], [14], [21], [45]. Therefore, phase noise estimation and compensation are necessary to prevent the degradation of GFDM performance.…”

Section: A Related Workmentioning

confidence: 99%

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Joint Channel and Phase Noise Estimation and Data Detection for GFDM

Mohammadian

Tellambura

2021

IEEE Open J. Commun. Soc.

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Generalized frequency division multiplexing (GFDM), an enabler of beyond-5G wireless networks, can be critically impaired due to radio frequency (RF) phase noise. However, joint channel estimation and phase noise compensation for GFDM systems have not been addressed before. Hence, we tackle this problem. To this end, we propose an iterative algorithm for joint channel and phase noise estimation and two algorithms for joint data detection and phase noise compensation. These algorithms use linear and non-linear least-squares (NLS) methods and employ block-type and comb-type pilots. The complexity of these algorithms is also analyzed. Moreover, to reduce their complexity, interpolation techniques are deployed to decrease the number of unknowns. We also analyze the signal-to-interference-plus noise ratio (SINR) and sum-rate of GFDM contaminated with phase noise. Furthermore, the accuracy of the channel and phase noise estimates is established via Cramér-Rao lower bounds (CRLBs). The simulation results illustrate that the mean square error (MSE) performance of the proposed joint channel and phase noise estimator reaches the CRLB. Moreover, the proposed joint data symbol detection and phase noise compensation algorithms nearly eliminate the impacts of phase noise in GFDM systems.

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Section: A Related Workmentioning

confidence: 99%

“…Finally, the proposed closed-form algorithm in Section III-B2, Algorithm 3, requires nine matrix multiplications and two matrix inversions, according to (43) and (45). The complexity of Algorithm 3 is ( 3 + 5 2 + 2 ).…”

Section: Computational Complexity Analysismentioning

confidence: 99%

Joint Channel and Phase Noise Estimation and Data Detection for GFDM

Mohammadian

Tellambura

2021

IEEE Open J. Commun. Soc.

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“…On the other hand, for full-duplex GFDM, digital SI cancellation is investigated in [39] and SI power is derived. In [36], [40], we model and analyze the full-duplex GFDM transceiver in presence of phase noise, IQ imbalance and CFO by considering both analog and digital cancellations and propose receiver filter to maximize the desired signalto-interference ratio. Note that two independent oscillators for local transmitter and receiver of full-duplex node was considered.…”

Section: B Work Contributionsmentioning

confidence: 99%

“…We next compare the performance of our proposed algorithm in (48) with two others: (1) Non-optimized algorithm; the transmit powers of SU 1 and SU 2 are set to maximum powers P 1,max and P 2,max in (42), respectively, and the sum rate in (40) is derived without any optimization and (2) Exhaustive search; the sum rate in (40) under ACI constraints in (45) is calculated for all possible SU 1 and SU 2 average transmit powers. For exhaustive search, we examine 10000 × 10000 (p 1 ,p 2 ) sets that are generated between zero and maximum powers P 1,max and P 2,max in (42).…”

Section: E Sum Rate Maximizationmentioning

confidence: 99%

Cognitive GFDM Full-Duplex Radios With RF Impairments and ACI Constraints

Mohammadian

Tellambura

2020

IEEE Open J. Commun. Soc.

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We investigate the problem of sum-rate maximization of a secondary link of full-duplex generalized frequency division multiplexing (GFDM) radios operating over a spectrum hole, which is surrounded by two active primary adjacent channels. Thus, the secondary transmissions must be below an adjacent channel interference (ACI) threshold. In-band distortions and several interference terms are also caused by phase noise, in-phase (I) and quadrature (Q) imbalance, carrier frequency offset (CFO) and the nonlinear power amplifier (PA). Analog domain and digital domain self-interference (SI) cancellation is also considered. We study the two cases of two independent oscillators for local transmitter and receiver and one common shared oscillator. We derive the powers of residual SI, desired signal, interference signal and noise, signal-to-interference-plus noise ratio (SINR) and the power spectral density (PSD) of the transmit signal. By using successive convex approximations, we solve the sum-rate maximization problem. Finally, we show that in full-duplex radios under certain RF impairments, GFDM may double the sum rate compared to that of orthogonal frequency division multiplexing (OFDM). INDEX TERMS Full-duplex radios, generalized frequency division multiplexing (GFDM), cognitive radio, spectrum hole, radio frequency (RF) impairments, rate optimization.

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“…The compensation methods of IQI in OFDM systems are initially proposed in [4 ], and then used in mmWave single carrier (SC) systems in [5 ]. Moreover, other IQI compensation methods have also been put forward on basis of trained sequences [6 ], feedback receiver [7 ], precoding [8 ] and filter optimisation [9 ]. For GFDM systems with IQI, although compensation methods have been investigated in [10, 11 ], there is no solid theoretical analyses for BER performances before and after IQI compensation, nor rigorous proof for usefulness of IQI compensation.…”

Section: Introductionmentioning

confidence: 99%

BER analysis of IQ imbalance compensation for GFDM systems

2020

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As one of the 5G waveform candidates, generalised frequency division multiplexing (GFDM) systems have been proposed to achieve lower out of band radiation and stronger robustness against synchronisation errors. However, theoretical BER performances of GFDM systems with in‐phase/quadrature (IQ) imbalance, as well as compensation strategies, have not been widely investigated. In this Letter, the authors evaluate theoretical BER performances of GFDM systems with transmitter IQ imbalance (IQI) before and after a proposed compensation method. Basically, they give approximated BER expressions for different modulations through considering introduced IQI completely as useless interference, and then derive a more precise BER expression for QPSK modulation. Additionally, they put forward a compensation method to remove IQI interference in GFDM systems at the cost of enlarged noise. Furthermore, analytical BER expressions with IQI compensation are derived, and then the effectiveness of the proposed compensation strategy is proven by theoretical and simulation results.

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Full-Duplex GFDM Radio Transceivers in the Presence of Phase Noise, CFO and IQ Imbalance

Cited by 12 publications

References 17 publications

Joint Channel and Phase Noise Estimation and Data Detection for GFDM

Joint Channel and Phase Noise Estimation and Data Detection for GFDM

Cognitive GFDM Full-Duplex Radios With RF Impairments and ACI Constraints

BER analysis of IQ imbalance compensation for GFDM systems

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