2017
DOI: 10.1016/j.epsr.2017.05.011
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Characterization of Brazilian in-home power line channels for data communication

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Cited by 42 publications
(23 citation statements)
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“…Even though the CB and CT are two of the main features for characterizing PLC channels, there is a clear lack of characterization for them in countries with distinct profiles from US and European countries. An attempt to overcome this problem is the analysis of ACA, RMS-DS, CB, and CT in Brazilian in-home PLC channels provided in [19]. Also, an initial attempt to provide statistical modelings of ACG and delay spread in Brazil was introduced in [20].…”
Section: Introductionmentioning
confidence: 99%
“…Even though the CB and CT are two of the main features for characterizing PLC channels, there is a clear lack of characterization for them in countries with distinct profiles from US and European countries. An attempt to overcome this problem is the analysis of ACA, RMS-DS, CB, and CT in Brazilian in-home PLC channels provided in [19]. Also, an initial attempt to provide statistical modelings of ACG and delay spread in Brazil was introduced in [20].…”
Section: Introductionmentioning
confidence: 99%
“…Para tanto, considera-se uma simulação Monte Carlo com a transmissão de N = 10 7 bits modulados em amplitude de pulso M -ária (M -ary pulse amplitude modulation -M -PAM) com energia média unitária e M ∈ {2, 4, 16}. O meio de comunicaçãó e representado pelas estimativas de canais PLC residenciais, com L h = 512, obtidos por meio da campanha de medição discutida em [5].…”
Section: Resultados Numéricosunclassified
“…The covered frequency band is between 1.7 and 100 MHz. Also, 232 measures were obtained with the use of the HS-OFDM scheme with N = 2048 subchannels and a cyclic prefix of L cp = 512 samples, as described in [8]. The number of microslots during a time interval corresponding to one cycle of the mains signal is M = 32 and the time interval of each microslot is equal to T γ = (1/f 0 )/M ≈ 520 µs, where f 0 = 60 Hz is the mains frequency.…”
Section: Enhanced Temporal Compressive Resource Allocationmentioning
confidence: 99%