Modeling and analysis of nonlinearities and mismatches in AC-coupled direct-conversion receiver

Namgoong, Won

doi:10.1109/twc.2004.840239

Cited by 52 publications

(31 citation statements)

References 15 publications

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“…Particularly, at each receive antenna an additive white Gaussian "receiver distortion" with variance β times the energy of the undistorted received signal on that receive antenna is applied, and at each transmit antenna, an additive white Gaussian "transmitter noise" with variance κ times the energy of the intended transmit signal is applied. This transmitter/receiver distortion model is valid, since it was shown by hardware measurements in [46] and [47] that the non-ideality of the transmitter and receiver chain can be approximated by an independent Gaussian noise model, respectively.…”

Section: System Modelmentioning

confidence: 99%

Weighted Sum-Rate Maximization for Full-Duplex MIMO Interference Channels

Cırık

Wang

Hua

et al. 2015

IEEE Trans. Commun.

108

107

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We consider a K link multiple-input multiple-output (MIMO) interference channel, where each link consists of two full-duplex (FD) nodes exchanging information simultaneously in a bi-directional communication fashion. The nodes in each pair suffer from self-interference due to operating in FD mode, and inter-user interference from other links due to simultaneous transmission at each link. We consider the transmit and receive filter design for Weighted Sum-Rate (WSR) maximization problem subject to sum-power constraint of the system or individual power constraints at each node of the system. Based on the relationship between WSR and Weighted Minimum-MeanSquared-Error (WMMSE) problems for FD MIMO interference channels, we propose a low complexity alternating algorithm which converges to a local WSR optimum point. Moreover, we show that the proposed algorithm is not only applicable to FD MIMO interference channels, but also applicable to FD cellular systems, in which a base station (BS) operating in FD mode serves multiple uplink (UL) and downlink (DL) users operating in halfduplex (HD) mode, simultaneously. It is shown in simulations that the sum-rate achieved by FD mode is higher than the sum-rate achieved by baseline HD schemes.

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Section: System Modelmentioning

confidence: 99%

Weighted Sum-Rate Maximization for Full-Duplex MIMO Interference Channels

Cırık

Wang

Hua

et al. 2015

IEEE Trans. Commun.

108

107

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“…From a theoretical perspective, automatic gain control (AGC) followed by dithered uniform quantization [20] yields quantization errors whose statistics closely match the model (4). More importantly, studies (e.g., [21]) have shown that the independent Gaussian distortion model (4) accurately captures the combined effects of additive AGC noise, non-linearities in the ADC and gain-control, and oscillator phase noise in practical hardware. Fig.…”

Section: Limited Receiver Dynamic Rangementioning

confidence: 99%

Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range

Day¹,

Bliss²,

Margetts³

et al. 2011

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

103

299

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Abstract-In this paper, we consider the problem of full-duplex bidirectional communication between a pair of modems, each with multiple transmit and receive antennas. The principal difficulty in implementing such a system is that, due to the close proximity of each modem's transmit antennas to its receive antennas, each modem's outgoing signal can exceed the dynamic range of its input circuitry, making it difficult-if not impossible-to recover the desired incoming signal. To address these challenges, we consider systems that use pilot-aided channel estimates to perform transmit beamforming, receive beamforming, and interference cancellation. Modeling transmitter/receiver dynamic-range limitations explicitly, we derive tight upper and lower bounds on the achievable sum-rate, and propose a transmission scheme based on maximization of the lower bound, which requires us to (numerically) solve a nonconvex optimization problem. In addition, we derive an analytic approximation to the achievable sum-rate, and show, numerically, that it is quite accurate. We then study the behavior of the sum-rate as a function of signal-to-noise ratio, interference-to-noise ratio, transmitter/receiver dynamic range, number of antennas, and training length, using optimized half-duplex signaling as a baseline.

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“…The proposed model in [3] is based on the following three observations. Firstly, the collective distortion signal in each transmit/receive chain can be approximated as an additive zero-mean Gaussian term [39]- [41]. Secondly, the variance of the distortion signal is proportional to the power of the intended transmit/received signal.…”

Section: B Distortion Signal Statisticsmentioning

confidence: 99%

Hardware Impairments Aware Transceiver Design for Full-Duplex Amplify-and-Forward MIMO Relaying

Taghizadeh

Cırık

Mathar

2018

IEEE Trans. Wireless Commun.

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In this work we consider a full-duplex (FD) and amplify-and-forward (AF) relay with multiple antennas, where hardware impairments of the FD relay are taken into account. Due to the inter-dependency of the transmit relay power and the residual self-interference in an AF-FD relay, we observe a distortion loop that degrades the system performance when relay dynamic range is not high. In this regard, we analyze the relay function, and an optimization problem is formulated to maximize the signal to distortion-plus-noise ratio (SDNR) under relay and source transmit power constraints. Due to the problem complexity, we propose a gradient-projection-based (GP) algorithm to obtain an optimal solution. Moreover, a nonalternating sub-optimal solution is proposed by assuming a rank-1 relay amplification matrix, and separating the design of the relay process into multiple stages (MuStR1). The proposed MuStR1 method is then enhanced by introducing an alternating update over the optimization variables, denoted as AltMuStR1 algorithm. Numerical simulations show that compared to GP, the proposed (Alt)MuStR1 algorithms significantly reduce the required computational complexity at the expense of a slight performance degradation. Moreover, as the hardware impairments increase, or for a system with a high transmit power, the impact of applying a distortion-aware design is significant.

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Modeling and analysis of nonlinearities and mismatches in AC-coupled direct-conversion receiver

Cited by 52 publications

References 15 publications

Weighted Sum-Rate Maximization for Full-Duplex MIMO Interference Channels

Weighted Sum-Rate Maximization for Full-Duplex MIMO Interference Channels

Full-duplex bidirectional MIMO: Achievable rates under limited dynamic range

Hardware Impairments Aware Transceiver Design for Full-Duplex Amplify-and-Forward MIMO Relaying

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