Digitally-intensive transceivers for future mobile communications—emerging trends and challenges

Kanumalli, Ram Sunil; Buckel, T.; Preissl, Christoph; Preyler, Peter; Gebhard, Andreas; Markovic, J.; Hamidović, Damir; Hager, E. Paul; Pretl, Harald; Springer, Andreas; Huemer, Mario

doi:10.1007/s00502-017-0576-1

Cited by 13 publications

(5 citation statements)

References 25 publications

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“…The other category of blind concepts applies blind source separation (BSS) techniques, which however suffer from high computational effort [19]. In the context of interference cancellation [20], [21], I/Q imbalance calibration plays a role, too. Mixed signal solutions employ an auxiliary receiver with less stringent requirements than a normal receiver, which often leads to designs, where low IRR is even more an issue [22], [23].…”

Section: A Prior Approaches For I/q Imbalance Compensationmentioning

confidence: 99%

Ultra-Low Complex Blind I/Q-Imbalance Compensation

Paireder¹,

Kanumalli²,

Sadjina³

et al. 2019

IEEE Trans. Circuits Syst. I

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Direct-conversion transceivers are the predominating architecture in current mobile communication systems. Despite many advantages, this topology suffers from unavoidable mismatches in the analog part, which causes imbalance between the in-phase and quadrature (I/Q) component. In this paper, we present a novel fully digital, blind I/Q imbalance compensation algorithm that features extremely low computational complexity and high compensation performance for a wide range of input signal types. Different to many state-of-the-art compensation schemes, the approach is not based on a gradient descent optimization and does not require any global feedback. This simplifies the implementation at high data rates and reduces the configuration effort to a minimum. For comparison, we examine an existing method of moment-based estimator with similar properties, for which we also provide the detailed insights beyond available literature. For both algorithms, we provide a rigorous mathematical analysis, which is supported by simulations with a focus on various long-term evolution (LTE) signal types. In addition, hardware architectures, including field-programmable gate array (FPGA) verification, are presented for both algorithms.

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Section: A Prior Approaches For I/q Imbalance Compensationmentioning

confidence: 99%

Ultra-Low Complex Blind I/Q-Imbalance Compensation

Paireder¹,

Kanumalli²,

Sadjina³

et al. 2019

IEEE Trans. Circuits Syst. I

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“…Thus, the computation of centroids only in the use of position factor is useless. Hence, in robust and dynamic environments, SASC incorporates an energy aspect of nodes along with their distance information in a weighted manner to compute the function f (n) by following Equation (1).…”

Section: Centroid-based Cluster Formation Algorithmmentioning

confidence: 99%

“…In the last few years, wireless sensor networks (WSNs) gained a lot of research interest from the research community due to its dynamic nature and wide range of applications [1,2]. A WSN comprises tiny smart devices called micro-sensors with limited memory, storage, processing, and battery resources.…”

Section: Introductionmentioning

confidence: 99%

SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things

Haseeb

Almogren

Din

et al. 2020

Sensors

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Nowadays, the integration of Wireless Sensor Networks (WSN) and the Internet of Things (IoT) provides a great concern for the research community for enabling advanced services. An IoT network may comprise a large number of heterogeneous smart devices for gathering and forwarding huge data. Such diverse networks raise several research questions, such as processing, storage, and management of massive data. Furthermore, IoT devices have restricted constraints and expose to a variety of malicious network attacks. This paper presents a Secure Sensor Cloud Architecture (SASC) for IoT applications to improve network scalability with efficient data processing and security. The proposed architecture comprises two main phases. Firstly, network nodes are grouped using unsupervised machine learning and exploit weighted-based centroid vectors for the development of intelligent systems. Secondly, the proposed architecture makes the use of sensor-cloud infrastructure for boundless storage and consistent service delivery. Furthermore, the sensor-cloud infrastructure is protected against malicious nodes by using a mathematically unbreakable one-time pad (OTP) encryption scheme to provide data security. To evaluate the performance of the proposed architecture, different simulation experiments are conducted using Network Simulator (NS3). It has been observed through experimental results that the proposed architecture outperforms other state-of-the-art approaches in terms of network lifetime, packet drop ratio, energy consumption, and transmission overhead.

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“…If the application enables the usage of digital signal processors instead of dedicated hardware elements, even online reprogrammability is possible. The increased flexibility of DIM compared with other mitigation techniques may outweigh its inferior cancellation performance and reliability [70].…”

Section: Digital Interference Mitigationmentioning

confidence: 99%

A Survey of Self-Interference in LTE-Advanced and 5G New Radio Wireless Transceivers

Sadjina

Paireder

Huemer

et al. 2020

IEEE Trans. Microwave Theory Techn.

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This article presents a comprehensive survey of the literature on self-interference (SI) in long-term evolution advanced (LTE-A) and fifth-generation (5G) new radio transceivers and should serve the reader as a guide and starting point for further work on SI management. Current trends in cellular transceiver designs are discussed, and reasons why new technologies, such as carrier aggregation, cause potential sensitivity degradation due to self-interfering signals are highlighted. The survey provides an overview of the most common interference mechanisms and continues with a taxonomy on SI mitigation architectures by comparing the strengths and weaknesses of various techniques.

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Digitally-intensive transceivers for future mobile communications—emerging trends and challenges

Cited by 13 publications

References 25 publications

Ultra-Low Complex Blind I/Q-Imbalance Compensation

Ultra-Low Complex Blind I/Q-Imbalance Compensation

SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things

A Survey of Self-Interference in LTE-Advanced and 5G New Radio Wireless Transceivers

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