Low-complexity Detection and Performance Analysis for Decode-and-forward Relay Networks

Lu, Yuxin; Mow, Wai Ho

doi:10.1109/icassp.2019.8682497

Cited by 3 publications

(5 citation statements)

References 13 publications

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“…where av SR and av RD are expressed in (10) and (11), respectively [43], where I � = P b ∕(N 0 MR C ). Let P denote the total available power budget, one can write P S and P b in terms of P as P S + ∑ L b=1 P b ≤ P. The average end-to-end error probability expression for the error event when B s (t) was confused with B l (t) ∈ ℂ M×T S can be evaluated by averaging the conditional error probability of source-to-bth relay over the probability density function (PDF) of received instantaneous SNR (b) SR (t).…”

Section: Pep Analysismentioning

confidence: 99%

“…The dual-hop (DH) and multiple hop (MH) schemes, which usually serve to achieve diversity gain (DG), are two main classes of relaying protocols. Besides, the literature also suggested two major relay protocols such as amplify and forward (AF) [8][9][10] and decode and forward (DF) [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…Secondly, lowcomplexity relay selection schemes have been proposed based on the maximum rate, i.e., the priority matching and centralized gradual schemes. In [11], the authors consider a piecewise linear detector (PLD) and investigate the SER performance of three-node one-way DF cooperative communication over Rayleigh fading channel conditions. From this work, authors consider the perfect CSI and obtained the suboptimal error performance.…”

Section: Introductionmentioning

confidence: 99%

“…It had been demonstrated that for SER performance improves with MRT scheme. However, in the works [8][9][10][11][12], noise amplification and erroneous signal propagation are two main drawbacks and to mitigate this problem S-DF protocol-based relaying networks proposed in the works [13,14].…”

Section: Introductionmentioning

confidence: 99%

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PEP and OP examination of relaying network over time-selective fading channel

Shankar¹,

Mishra

2020

SN Appl. Sci.

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In this paper, we consider the selective decode and forward cooperative communication system and investigate its performance over time-selective fading in the presence of nodes' mobility and channel estimation errors. Closed-form expressions for the outage probability (OP) and per-block average pairwise error probability (PEP) are derived, considering constraints at the relay, source, and destination nodes. We assume that both dual and multiple hops are subject to independent but non-identically distributed time-selective Nakagami-m fading channel. It has been observed that with an increase in the value of shape parameter and link strength of the relay-to-destination (RD) fading link gain, the per-block average PEP performance improves. Also increasing RD link gain is more significant than increasing the shape parameter of the RD link. The OP performance for optimal power allocation factors is better than its performance for equal power allocation factors. It is demonstrated that the OP decreases with increasing the value of distance-dependent power transfer factors (PTFs). Further, it has been observed that due to the mobility of nodes and imperfect channel state information, the PEP performance of the system experiences degradation, especially for high values of signal-to-noise ratio. Furthermore, when all the nodes are static and the estimation processes are perfect, the asymptotic error floors vanish, i.e., the nodes' mobility impact is removed. Monte Carlo simulation results confirm the accuracy of the analytical results.

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Section: Pep Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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PEP and OP examination of relaying network over time-selective fading channel

Shankar¹,

Mishra

2020

SN Appl. Sci.

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show abstract

“…( 33)] to approximate the transition probability term Pr(x r |x s ), and applying the widely-used max approximation, which gives the excellent performance, especially at high SNR (c.f. [15], [16], [17]), we obtain a near-optimal detection metric as…”

Section: A Proposed Detector At the Destinationmentioning

confidence: 99%

Near-optimal Detector for SWIPT-enabled Differential DF Relay Networks with SER Analysis

Mow

2020

Preprint

Self Cite

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In this paper, we analyze the symbol error rate (SER) performance of the simultaneous wireless information and power transfer (SWIPT) enabled three-node differential decodeand-forward (DDF) relay networks, which adopt the power splitting (PS) protocol at the relay. The use of non-coherent differential modulation eliminates the need for sending training symbols to estimate the instantaneous channel state informations (CSIs) at all network nodes, and therefore improves the power efficiency, as compared with the coherent modulation. However, performance analysis results are not yet available for the state-ofthe-art detectors such as the approximate maximum-likelihood detector. Existing works rely on Monte-Carlo simulation to show that there exists an optimal PS ratio that minimizes the overall SER. In this work, we propose a near-optimal detector with linear complexity with respect to the modulation size. We derive an accurate approximate SER expression, based on which the optimal PS ratio can be accurately estimated without requiring any Monte-Carlo simulation.

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Near-optimal Detector for SWIPT-enabled Differential DF Relay Networks with SER Analysis

Mow

2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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Low-complexity Detection and Performance Analysis for Decode-and-forward Relay Networks

Cited by 3 publications

References 13 publications

PEP and OP examination of relaying network over time-selective fading channel

PEP and OP examination of relaying network over time-selective fading channel

Near-optimal Detector for SWIPT-enabled Differential DF Relay Networks with SER Analysis

Near-optimal Detector for SWIPT-enabled Differential DF Relay Networks with SER Analysis

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