Analysis of the DVB-T Signal Variation for Indoor Portable Reception

Martinez, Aingeru Mayor; Zabala, D.; Peña, I.; Angueira, Pablo; Vélez, Manuel; Arrinda, Amaia; Vega, David; Ordiales, J.L.

doi:10.1109/tbc.2008.2006657

Cited by 13 publications

(4 citation statements)

References 16 publications

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“…Therefore, for the sake of getting better playback quality, adaptive streaming algorithm needs to be adopted under limited network bandwidth. In addition, we also employ another performance indicator Erroneous Second Ratio (ESR) [13], [14] which is used to compared the robustness of different streaming schemes. The ESR means the percentage of erroneous seconds during the streaming service time.…”

Section: Resultsmentioning

confidence: 99%

SVC adaptive layer switching algorithms over the WiMAX network for Taiwan High Speed Rail

Lin

Chiao

Jiang

et al. 2011

2011 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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For the sake of satisfying the requirement of different receivers and adapting the network condition, a new video coding scheme appears and is called Scalable Video Coding (SVC). Different from traditional coding scheme i.e. H.264, encoding once by using SVC encoder can generate one bitstream with different resolutions as well as frame rate, and the bitstream can be corresponded with the requirement of different receivers. In this paper, we propose two adaptive SVC layer switching algorithms for dedicated Worldwide Interoperability for Microwave Access (WiMAX) network of Taiwan High Speed Rail (THSR). The adaptive layer switching algorithms are based on network condition to adjust to delivering video data. For the first algorithm, we record the Received Signal Strength Indicator (RSSI) trace at the high speed moving environment of THSR in advance, and measure the available network bandwidth with RSSI trace. Then, Streaming Server can deliver the corresponding SVC layer data by measured network bandwidth. As to the second algorithm, Streaming Server estimates network available bandwidth from static information such as packet loss rate sent by Streaming Client. Streaming Server can select and deliver SVC layer data which are adapted to estimated network bandwidth. Our streaming system is an adaptive streaming system because video layer switching adapts to different network conditions.

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Section: Resultsmentioning

confidence: 99%

SVC adaptive layer switching algorithms over the WiMAX network for Taiwan High Speed Rail

Lin

Chiao

Jiang

et al. 2011

2011 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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show abstract

“…The preferred method for establishing the threshold of visibility in this study is manual observation of the decoded signal in order to spot visual artifacts and/or sound distortion in the timeframe of a few seconds. Although more complex methods for assessing the quality of the decoded signal are often employed, most notably VQM [4,10,11], and ESR 5 (Erroneous Second Ratio) [12,13], the operator observed loss of visual quality was deemed adequate for the needs of this experiment.…”

Section: Discussionmentioning

confidence: 99%

Performance Measurements of a DVB-T System Affected by 5-MHZ Generic Adjacent Channel Interference

Kalogirou

Velivasaki²,

Capsalis³

2010

PIER C

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With the advent of DVB-T in most European countries, the European Union has decided to end all analogue television broadcasts in its member countries until 2012. This analogue switchoff, as well as the increased spectral efficiency of the DVB-T protocol will create a surplus of spectrum in the UHF band, part of which is to be used by mobile communications systems. In order for this "digital dividend" to be shared efficiently, the coexistence and interference parameters between DVB-T and other services (designated as IMT-Advanced by the International Telecommunications Union) have to be studied. In this paper a generic 5 MHz interfering signal is broadcasted in close proximity to a stationary DVB-T receiver. Various DVB-T parameters are then measured and analyzed for different frequency values and power levels of the interfering signal.

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“…This RSSI value is then converted to a received power, based on a calibration performed in our lab. While space variability will inevitably be present due to the fixed character of the nodes (see also [39]), this procedure at least allows to average out the time variability present in the UHF band [40]. …”

Section: Living Lab Networkmentioning

confidence: 99%

Simple Indoor Path Loss Prediction Algorithm and Validation in Living Lab Setting

David

Joseph

Vanhecke

et al. 2011

Wireless Pers Commun

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A simple heuristic algorithm has been developed for an accurate prediction of indoor wireless coverage, aiming to improve existing models upon multiple aspects. Extensive measurements on several floors in four buildings are used as validation cases and show an excellent agreement with the predictions. As the prediction is based on the free-space loss model for every environment, it is generally applicable, while other propagation models are often too dependent on the environment upon which it is based. The applicability of the algorithm to a wireless testbed network in a living lab setting with WLAN 802.11b/g nodes is investigated by a site survey. The results can be extremely useful for the rollout of indoor wireless networks.

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Analysis of the DVB-T Signal Variation for Indoor Portable Reception

Cited by 13 publications

References 16 publications

SVC adaptive layer switching algorithms over the WiMAX network for Taiwan High Speed Rail

SVC adaptive layer switching algorithms over the WiMAX network for Taiwan High Speed Rail

Performance Measurements of a DVB-T System Affected by 5-MHZ Generic Adjacent Channel Interference

Simple Indoor Path Loss Prediction Algorithm and Validation in Living Lab Setting

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