Concept for an adaptive digital front-end for multi-mode wireless receivers

Hueber, Gernot; Stuhlberger, R.; Springer, Andreas

doi:10.1109/iscas.2008.4541361

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…An extensive discussion of worst case against realistic blocker allocations around an UE has already been given in [6–8] and will therefore not be part of this paper. A concept handling the spectrum sensing task for the universal mobile telecommunications system (UMTS) test case has been described in [9, 10], whereas different implementation approaches for the long‐term evolution (LTE) test case have been given in [11, 12]. These approaches have been designed and optimised to fulfil the very specific blocker allocation given in the 3GPP specification [13].…”

Section: Introductionmentioning

confidence: 99%

Spectral estimation for long‐term evolution transceivers using low‐complex filter banks

Schlechter¹,

Juritsch²,

Huemer³

2014

J. eng.

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Section: Introductionmentioning

confidence: 99%

Spectral estimation for long‐term evolution transceivers using low‐complex filter banks

Schlechter¹,

Juritsch²,

Huemer³

2014

J. eng.

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“…A design for digital front end of the multi-mode wireless receiver is proposed in [5]. The proposed design can handle the Global System for Mobile Communications (GSM) /Enhanced Data Rates for GSM Evolution (EDGE), Code Division Multiple Access 2000 (CDMA2000), UMTS standards operation by sharing digital signal processing stages for all operation modes and adapting them for minimum power consumption with respect to the channel selection requirements.…”

Section: Introductionmentioning

confidence: 99%

The WLAN/ WCDMA Blind Multimode Wireless Receiving System

Sadkhan¹,

Akkar²,

Shakir³

2013

ETJ

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This paper proposes a new multimode wireless receiving system based on Blind Source Separation (BSS) for Orthogonal Frequency Division Multiplexing (OFDM) signal (based on Wireless Local Area Network (WLAN)) and the Wideband Code Division Multiple Access (WCDMA) signal (based on 3G cellular system). The proposed system applied the Independent Component Analysis (ICA) algorithms (adopting Fast-ICA and JADE algorithms) for blind estimating of the received signals. The processes of estimation, detection of the signals and equalization of the channel effects are done as blind methods at the same time. A performance comparison of the adopting algorithms had been done and the simulation results show that the multimode receiving system based on Fast-ICA algorithm had a gain of (7 dB) over JADE algorithm for a (10 -4 BER) of 30 users WCDMA blindly signal detection.

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“…If, on the other hand, there are only few blockers present, which additionally contain little energy, the receive path does not have to run in full performance mode, resulting in power saving. A concept handling this task for the universal mobile telecommunications system (UMTS) test case has been described in [10], whereas an implementation for the LTE test case has been given in [11][12][13]. The latter approach has been designed and optimized to fulfill the very specific blocker allocation given in the 3GPP specification [14].…”

Section: Introductionmentioning

confidence: 99%

Generic low complex filter bank based spectrum sensing approach for LTE cognitive radio

Schlechter

Huemer

2012

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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For mobile user equipments (UE) a careful power management is essential. Despite this fact, quite an amount of energy is wasted in today's UEs' analogue (AFE) and digital frontends (DFE). The latter are engi neered for extracting the wanted signal from a spectral environment defined in the corresponding communication standards with their extremely tough requirements. These requirements define a worstcase scenario still ensuring re liable communication. In a typical receiving process those requirements can be considered as less critical. Knowledge about the actual environmental spectral conditions allowsto reconfigure both frontends to the actual needs and to save energy. In this paper we present a highly efficient generic spectrum sensing approach, endowing both the AFE and DFE with increased intelligence by adopting their performance to the instantaneous spectrum allocation. We call this approach long term evolution cognitive radio. A low complex multiplier free filter bank will be introduced.Our presentation includes also simulation results, which will illustrate the performance of the overall system, and a complexity comparison to different FFT based implementations.

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Concept for an adaptive digital front-end for multi-mode wireless receivers

Cited by 13 publications

References 16 publications

Spectral estimation for long‐term evolution transceivers using low‐complex filter banks

Spectral estimation for long‐term evolution transceivers using low‐complex filter banks

The WLAN/ WCDMA Blind Multimode Wireless Receiving System

Generic low complex filter bank based spectrum sensing approach for LTE cognitive radio

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