MER degradation in a broadcast mobile network

Boveda, Jose; Marcos, Gorka; Perez, Jesus Maria; Ponce, Sara Beltrán; Aranaz, Ane

doi:10.1109/isbmsb.2009.5133742

Cited by 10 publications

(3 citation statements)

References 6 publications

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“…This just slightly better BER performance of the FC-CNNE stems from the somewhat large decision regions of the 16-QAM demapper. In fact, the dispersion of the received 16-QAM symbols around the reference symbols of the 16-QAM alphabet is noticeable smaller for the FC-CNNE, as shown in Figure 9, indicating an intrinsic lower MER (Modulation Error Ratio) [22] yielded by the FC-CNNE with respect to the CMA-PTRBFNN. Such smaller symbol dispersion, or MER, gives a superior operational margin for the FC-CNNE in dynamic scenarios, such as wireless mobile operation, in which the channel impulse response varies over time.…”

Section: Simulation Resultsmentioning

confidence: 95%

Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer

Mayer

Oliveira

Müller

et al. 2019

Wireless Communications and Mobile Computing

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Mobile communications, not infrequently, are disrupted by multipath propagation in the wireless channel. In this context, this paper proposes a new blind concurrent equalization approach that combines a Phase Transmittance Radial Basis Function Neural Network (PTRBFNN) and the classic Constant Modulus Algorithm (CMA) in a concurrent architecture, with a Fuzzy Controller (FC) responsible for adapting the PTRBFNN and CMA step sizes. Differently from the Neural Network (NN) based equalizers present in literature, the proposed Fuzzy Controller Concurrent Neural Network Equalizer (FC-CNNE) is a completely self-taught concurrent architecture that does not need any training. The Fuzzy Controller inputs are based on the estimated mean squared error of the equalization process and on its variation in time. The proposed solution has been evaluated over standard multipath VHF/UHF channels defined by the International Telecommunication Union. Results show that the FC-CNNE is able to achieve lower residual steady-state MSE value and/or faster convergence rate and consequently lower Bit Error Rate (BER) when compared to Constant Modulus Algorithm-Phase Transmittance Radial Basis Function Neural Network (CMA-PTRBFNN) equalizer.

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Section: Simulation Resultsmentioning

confidence: 95%

Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer

Mayer

Oliveira

Müller

et al. 2019

Wireless Communications and Mobile Computing

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“…For global services, all signals arrived within the CP are considered as constructive contribution to the wanted signal, creating an SFN gain, while the signals exceeding the CP are considered destructive interference. However, for some cases, the increase of the CNR due to the SFN gain does not guarantee an improvement in the reception quality [13] [14]. This power gain is beneficial for receivers operating under diffuse multipath or low CNR conditions (e.g.…”

Section: Coverage Performance Resultsmentioning

confidence: 99%

Technical Solutions for Local Service Insertion in DVB-NGH Single Frequency Networks

López-Sánchez

Zöllner

Atungsiri³

et al. 2014

IEEE Trans. on Broadcast.

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“…The analysis performed above is under the assumption of AWGN channel, and it has not taken into consideration of multipath propagation and mobile reception. There has been study [8] showing that MER degradation exists because of the combination of different propagation paths in an SFN, and that an increase of the C/N due to the co-existence of different rays may not be beneficial for the reception process [8]. In addition, if signal fading is fast enough so that there is a significant channel change between two consecutive OFDM symbols, the channel estimate of section 3.4 may not be adequate.…”

Section: Effect Of Non-awgn Channelsmentioning

confidence: 99%

Providing Local Content in a Hybrid Single Frequency Network Using Hierarchical Modulation

Jiang¹,

Wilford²,

Wilkus³

2010

IEEE Trans. on Broadcast.

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-A hierarchical modulation method is proposed for providing local content in a hybrid satellite and terrestrial single frequency network such DVB-SH. The hierarchical modulation is used to transmit both global and local content in terrestrial transmitters. The global content is transmitted with high priority layer of the hierarchical modulation, and the local content is modulated with the low priority layer of the hierarchical modulation. The satellite transmits global content only. The performance of the hierarchical system for both global and local content is analyzed.Index Terms -local content, global content, hierarchical modulation, hybrid satellite and terrestrial single frequency network, DVB-SH

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MER degradation in a broadcast mobile network

Cited by 10 publications

References 6 publications

Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer

Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer

Technical Solutions for Local Service Insertion in DVB-NGH Single Frequency Networks

Providing Local Content in a Hybrid Single Frequency Network Using Hierarchical Modulation

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