Parallel Continuous-Time $\Delta\Sigma$ ADC for OFDM UWB Receivers

Arias, J.; Quintanilla, L.; Segundo, J.; Enríquez, Lourdes; Vicente, J. L.; Hernandez-Mangas, J. M.

doi:10.1109/tcsi.2008.2006214

Cited by 15 publications

(7 citation statements)

References 28 publications

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“…The flexibility in CRs has major implications for the design cross-layer algorithms which adapt to alterations in physical channel quality, wireless noise, network topology, traffic demand or radio node density may be anticipated to take an advanced command and management framework with support for cross-layer information. Spectrum mobility and frequency band handoff management will face some new trials which are needed to perform a cross-layer design, particularly when required providing the essential capabilities in terms of QoS at the same time [21].…”

Section: Cross-layersmentioning

confidence: 99%

The Issues and Challenges in Futuristic Development of Cognitive Radio Networks

Bhagat

Malhotra²

2017

ijarcs

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Due to the emergence of numerous applications based on wireless applications the problem of spectrum scantiness is increasing day by day. The utilization of spectrum has increased to its maximum level. To tackle this issue the technology named cognitive radio was introduced to the rescue. The cognitive radio is an emerging technology that enables dynamic spectrum access in wireless networks. The cognitive radio is capable of expediently using the obtainable portions of a licensed spectrum to improve the application performance for unlicensed users [1]. The opportunistic use of the accessible channels in the wireless environment requires dynamic channel assignment to efficiently utilize the available resources while minimizing the interference in the network. A lot of work has been reported in the literature so this paper presents a comprehensive survey on the current state-of-the-art, various technologies in which the cognitive radio technology can be used to enhance the performance to get better results are extracted in this paper. Open issues and emerging trends has been brought forward for the researchers working in the fields of wireless communication and network.

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Section: Cross-layersmentioning

confidence: 99%

The Issues and Challenges in Futuristic Development of Cognitive Radio Networks

Bhagat

Malhotra²

2017

ijarcs

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“…On the path towards ideal CR receivers, several ADCs can be used in parallel to widen the conversion bandwidth. In [77], a parallel continuous time ΔΣ ADC is presented, which Frequency (GHz) Frequency (GHz) Frequency (GHz) requires very complex digital synthesis filters. The hybrid filter bank-based ADC presented in [78] could be a promising solution for CR applications, but its use necessitates high resource calibration since it is sensitive to analog filter errors and imperfections.…”

Section: Adcs and Dacsmentioning

confidence: 99%

Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review

Safatly

Bkassiny²,

Al‐Husseini³

et al. 2014

International Journal of Antennas and Propagation

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A cognitive transceiver is required to opportunistically use vacant spectrum resources licensed to primary users. Thus, it relies on a complete adaptive behavior composed of: reconfigurable radio frequency (RF) parts, enhanced spectrum sensing algorithms, and sophisticated machine learning techniques. In this paper, we present a review of the recent advances in CR transceivers hardware design and algorithms. For the RF part, three types of antennas are presented: UWB antennas, frequency-reconfigurable/tunable antennas, and UWB antennas with reconfigurable band notches. The main challenges faced by the design of the other RF blocks are also discussed. Sophisticated spectrum sensing algorithms that overcome main sensing challenges such as model uncertainty, hardware impairments, and wideband sensing are highlighted. The cognitive engine features are discussed. Moreover, we study unsupervised classification algorithms and a reinforcement learning (RL) algorithm that has been proposed to perform decision-making in CR networks.

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“…In this optic, parallelism can be used in order to widen the conversion bandwidth. Parallel continuous-time ΔΣ ADC presented in [33] needs very complex digital synthesis filters which become even more complex when the channel number is increased. Hybrid filter bank based ADC [34] could be a promising solution for CR applications.…”

Section: Adc and Dac Challengesmentioning

confidence: 99%

Cognitive Radio RF: Overview and Challenges

Nguyen

Villain²,

Guillou³

2012

VLSI Design

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Cognitive radio system (CRS) is a radio system which is aware of its operational and geographical environment, established policies, and its internal state. It is able to dynamically and autonomously adapt its operational parameters and protocols and to learn from its previous experience. Based on software-defined radio (SDR), CRS provides additional flexibility and offers improved efficiency to overall spectrum use. CRS is a disruptive technology targeting very high spectral efficiency. This paper presents an overview and challenges of CRS with focus on radio frequency (RF) section. We summarize the status of the related regulation and standardization activities which are very important for the success of any emerging technology. We point out some key research challenges, especially implementation challenges of cognitive radio (CR). A particular focus is on RF front-end, transceiver, and analog-to-digital and digital-to-analog interfaces which are still a key bottleneck in CRS development.

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Parallel Continuous-Time $\Delta\Sigma$ ADC for OFDM UWB Receivers

Cited by 15 publications

References 28 publications

The Issues and Challenges in Futuristic Development of Cognitive Radio Networks

The Issues and Challenges in Futuristic Development of Cognitive Radio Networks

Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review

Cognitive Radio RF: Overview and Challenges

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