Iterative pre-compensation of I/Q imbalances in an adaptive 2.4 GHz MIMO-OFDM system

Petermann, Mark; Niemiec, M.; Wübben, Dirk; Kammeyer, Karl‐Dirk; Stefer, Markus; Schneider, Martin

doi:10.1109/wsa.2010.5456451

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…(2) If the sending end is using a power control algorithm, it will have a certain degree of impact on the accuracy of CHARM, depending on the speed of power change. (3) CHARM assumes a symmetric link between the sender and receiver, which is not true in wireless channels due to mobility, fading and interference [ 26 ].…”

Section: Related Workmentioning

confidence: 99%

Environment-Aware Rate Adaptation Based on Occasional Request and Robust Adjustment in 802.11 Networks

Yu,

Wang,

Song

et al. 2023

Sensors

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The IEEE 802.11 standard provides multi-rate support for different versions. As there is no specification on the dynamic strategy to adjust the rate, different rate adaptation algorithms are applied according to different manufacturers. Therefore, it is often hard to interpret the performance discrepancy of various devices. Moreover, the ever-changing channels always challenge the rate adaptation, especially in the scenario with scarce spectrum and low SNR. As a result, it is important to sense the radio environment cognitively and reduce the unnecessary oscillation of the transmission rate. In this paper, we propose an environment-aware robust (EAR) algorithm. This algorithm employs an occasional small packet, designs a rate scheme adaptive to the environment, and enhances the robustness. We verify the throughput of EAR using network simulator NS-3 in terms of station number, motion speed and node distance. We also compare the proposed algorithm with three benchmark methods: AARF, RBAR and CHARM. Simulation results demonstrate that EAR outperforms other algorithms in several wireless environments, greatly improving the system robustness and throughput.

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Section: Related Workmentioning

confidence: 99%

Environment-Aware Rate Adaptation Based on Occasional Request and Robust Adjustment in 802.11 Networks

Yu,

Wang,

Song

et al. 2023

Sensors

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“…Traditionally, TX IQ imbalance is treated as memoryless distortion (frequency-flat or frequency-independent). As a result, its predistorter is implemented by some memoryless models [110][111][112][113][114]. With the wideband signals in modern communication systems, TX IQ imbalance distortion shows significant memory effects (frequency-dependent), and is modeled (or predistorted) by some linear memory system [115][116][117].…”

Section: Fig 2-10 Tx Iq Imbalance Predistortionmentioning

confidence: 99%

Behavioral model on transmitter power amplifier and IQ imbalance

Fu¹

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This thesis is dedicated to the subject of the behavioral model of two most important analog impairments in modern wireless transmittersin-phase/quadrature (IQ) imbalance distortion and power amplifier (PA) nonlinear memory distortion. Despite their distinct physical characteristics, and unlike conventional ways of treating them differently and separately, this thesis is to treat these two seemingly different distortions equally and model them uniformly. Specifically, the main research efforts have gone through the following two stages: In the first stage, these two distortions are treated equally while independently, and compensated using the same methodologydigital predistortion. In this stage, the main objective is to find a better behavioral model for each distortion. Then in the next stage, these two distortions are merged as one black box, and characterized by a single behavioral model. The objective of this stage is to unify the view of the two distortions, abstract it in the implementation, and save the resources by unifying and simplifying the model. After the introduction chapter, the background of the two analog distortionstransmitter (TX) in-phase/quadrature imbalance and power amplifierare presented, followed by the general discussion of system-level simulation and digital predistortion, where the quality of the behavioral model determines both performances. Then a comprehensive literature review is engaged on the subjects of transmitter in-phase/quadrature Imbalance and power amplifier, from where it is clear that the current available behavioral models cannot satisfy the demanding requirements, and hence efforts are necessary to find a better, simpler, more accurate, while free-of-side-effects model.

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Iterative pre-compensation of I/Q imbalances in an adaptive 2.4 GHz MIMO-OFDM system

Cited by 2 publications

References 19 publications

Environment-Aware Rate Adaptation Based on Occasional Request and Robust Adjustment in 802.11 Networks

Environment-Aware Rate Adaptation Based on Occasional Request and Robust Adjustment in 802.11 Networks

Behavioral model on transmitter power amplifier and IQ imbalance

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