2011 International Conference on Wireless Communications and Signal Processing (WCSP) 2011
DOI: 10.1109/wcsp.2011.6096871
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Statistical distributions of OFDM signals on multi-path fading channel

Abstract: Bit error rate (BER) performance of the OFDM system has been widely studied on multi-path fading channel with the channel gain being modeled as various distributions. But the statistical distribution of the OFDM signal on the receiver side has neither been well studied, nor given the closeformed expression. In order to design the optimum detection criteria, especially for the hypothesis test of the OFDM symbol, the probability density function (pdf) of the received OFDM signal on the multi-path channel is pres… Show more

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Cited by 11 publications
(4 citation statements)
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“…The acquired codes are adjusted to divert vacillation in versatile situations. Arikan [21] proposed a scheduling scheme of dynamic carrier aggregation (DCA) to provide higher energy efficiency in uplink communication. In Santos [12] have not considered the uplink real-time scheduling and resource allocation framework for the demand of the 3rd generation partnershipl project (3GPP) long term evolution-advanced (LTE-A) networks.…”
Section: Related Workmentioning
confidence: 99%
“…The acquired codes are adjusted to divert vacillation in versatile situations. Arikan [21] proposed a scheduling scheme of dynamic carrier aggregation (DCA) to provide higher energy efficiency in uplink communication. In Santos [12] have not considered the uplink real-time scheduling and resource allocation framework for the demand of the 3rd generation partnershipl project (3GPP) long term evolution-advanced (LTE-A) networks.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, according to [19], the statistical distribution of the received orthogonal frequency‐division multiplexing (OFDM) symbols on a certain subcarrier through a multipath channel can also be approximated by the Gaussian distribution (OFDM is a prevalent modulation mechanism for PLC systems). Thus, the joint probability density function (PDF) scriptP,scriptQfalse(P,Qfalse) of p ( k ) and q ( k ) ( p ( k ) constitutes a random process scriptP, and q ( k ) constitutes a random process scriptQ) can be written as right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3ptnormal℘P,Q(P,Q)=def12πνs2normale(P2+Q2)/(2νs2), where νs2 denotes the variance and right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3ptνs2=defVar[p(k)]=Var[q(k)]. Express the rectangular form of γfalse(kfalse) as right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3ptγ(k)=defw(k)+jδ(k), where γfalse(kfalse) is the environmental noise consisting of coloured Gaussian noise, impulsive noise and so on.…”
Section: Baseband Plc System Modelmentioning
confidence: 99%
“…Here, we assume that the maximum delay of the multi-path fading channel is fully characterized by the cyclic prefix length. If we denote σ 2 H as the sum of the channel tap powers such that σ 2 H = Ng−1 l=0 E |h ps (l)| 2 , then the conditional probability density function for either the real part or the imaginary part of the received symbol at index r k j given that the transmitted symbol is X p (r k j ) = a + jb can be obtained by (21) where σ 2 n is the noise variance and E ab = (a 2 + b 2 ) [25].…”
Section: Frequency Selective Channel and Multi-antenna Systemmentioning
confidence: 99%