Ergodic capacity of decode-and-forward relay strategies over general fast fading channels

Sun, Yin; Zhong, Xiaofeng; Chen, X.; Zhou, Shidong; Wang, J.

doi:10.1049/el.2010.7550

Cited by 12 publications

(6 citation statements)

References 11 publications

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“…R depends on h and γ TS D depends on h and g. Note that we need to calculate the ergodic capacities for both source to relay and relay to destination links because the actual ergodic capacity is given by the minimum of C TS r and C TS d [17]. The analytical expressions for the ergodic capacities, C TS r and C TS d , are given in the following theorem.…”

Section: Throughput Analysismentioning

confidence: 99%

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Throughput and ergodic capacity of wireless energy harvesting based DF relaying network

Nasir

Zhou

Durrani

et al. 2014

2014 IEEE International Conference on Communications (ICC)

232

198

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In this paper, we consider a decode-and-forward (DF) relaying network based on wireless energy harvesting. The energy constrained relay node first harvests energy through radio-frequency (RF) signals from the source node. Next, the relay node uses the harvested energy to forward the decoded source information to the destination node. The source node transfers energy and information to the relay node through two mechanisms, i) time switching-based relaying (TSR) and ii) power splitting-based relaying (PSR). Considering wireless energy harvesting constraint at the relay node, we derive the exact analytical expressions of the achievable throughput and ergodic capacity of a DF relaying network for both TSR and PSR schemes. Through numerical analysis, we study the throughput performance of the overall system for different system parameters, such as energy harvesting time, power splitting ratio, and signal-tonoise-ratio (SNR). In particular, the throughput performance of the PSR scheme outperforms the throughput performance of the TSR scheme for a wide range of SNRs.

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Section: Throughput Analysismentioning

confidence: 99%

“…nc,r is the variance of overall AWGN at the relay node, n PS r (1 − ρ)n a,d (k) + n a,c (k). Using (17), the SNR at the destination, γ PS d , in the PSR scheme is given by…”

Section: Throughput Analysismentioning

confidence: 99%

Throughput and ergodic capacity of wireless energy harvesting based DF relaying network

Nasir

Zhou

Durrani

et al. 2014

2014 IEEE International Conference on Communications (ICC)

232

198

View full text Add to dashboard Cite

show abstract

“…The throughput of the wireless energy harvesting–based DF relaying network shown in Figure can be written as

T_{P} = \frac{ψ}{2} C_{erg},

where ψ is defined in Equation and

C_{erg}

is the ergodic capacity in bits per second per hertz, which is given as

\begin{matrix} alignleft \\ align-1 {scriptC}_{erg} = \min {{scriptC}_{1}, {scriptC}_{2}}, & align-2 \end{matrix}

whereby

C_{1}

and

C_{2}

are the ergodic capacity for the source‐relay link and the relay‐destination link, respectively. The ergodic capacity of the i th hop ( i =1,2, ie, source‐relay link when i =1 and relay‐destination link when i =2) can be found via

C_{i} = double-struckE ([] \log_{2} (1 + {normalγ}_{i}))

\begin{matrix} alignleft \\ align-1 = & align-2 \int_{0}^{\infty} f_{{normalγ}_{i}} (z) \log_{2} (1 + z) d z \\ align-1 = & align-2 \frac{1}{\ln (2)} \int_{0}^{\infty} f_{{normalγ}_{i}} (z) \ln (1 + z) d z, \end{matrix}

where

double-struckE false[\cdot false]

is the expectation operation.…”

Section: Throughput Analysismentioning

confidence: 99%

Wireless energy harvesting in cooperative decode‐and‐forward relaying networks over mixed generalized η‐μ and κ‐μ fading channels

Badarneh

Almehmadi

Ansari

et al. 2017

Trans Emerging Tel Tech

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In this paper, we investigate the performance of dual‐hop relaying networks with wireless energy harvesting at the relay node over generalized η‐μ and κ‐μ fading channels. Our analysis considers decode‐and‐forward relays with a single antenna as well as source and destination nodes equipped with a single antenna. Specifically, we derive an accurate approximate analytical expression for the system outage probability (OP). The derived OP considers 3 different energy harvesting mechanisms: (1) time switching–based relaying, (2) power splitting–based relaying, and (3) ideal relaying receiver. Furthermore, we obtain accurate approximate analytical expressions for the system ergodic capacity and achievable throughput for the time switching–based relaying, power splitting–based relaying, and ideal relaying receiver. In addition, an accurate approximate analytical expression for the average bit error rate for several coherent modulation schemes is obtained. Through some numerical examples, we study the OP, throughput, and average bit‐error‐rate performance of the overall system under different system parameters such as fading parameters, energy harvesting time, power splitting factor, and signal‐to‐noise ratio. The results show that the effect of increasing the fading parameter μ on the system performance is more pronounced than that of increasing the fading parameters η and κ. Besides, increasing the energy harvesting time or the power splitting factor may be either beneficial or harmful for the throughput performance. Our numerical results are accompanied with Monte Carlo simulations to verify the accuracy of our analysis.

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“…Some works in existing literature have studied the performance of MIMO-STBC based DF relaying systems in terms of the end-to-end error rate [1], [2]. In the context of capacity analysis of cooperative communication, the authors in [3] have presented results for the ergodic capacity of DF relaying considering independent Nakagami-m distributed channel gains. The work in [4] presents exact expressions for the ergodic capacity of a two-hop DF cooperative system over dissimilar Rician channels with adaptive modulation.…”

Section: Ultiple-input Multiple-output (Mimo)mentioning

confidence: 99%

Capacity Analysis for Path Selection Based DF MIMO-OSTBC Cooperative Wireless Systems

2014

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In this paper, we analyze the ergodic capacity of a path selection based Decode-and-Forward (DF) MIMO-OSTBC cooperative wireless system. Closed form expressions are derived for the ergodic capacity considering the availability of full as well as partial CSI at the source. Simulation results are presented to demonstrate the ergodic capacity of the MIMO-OSTBC DF cooperative relaying system and verify the analytical expressions derived. Interestingly, it is observed that while the availability of full CSI at the source generally leads to a higher capacity, its performance gain over the scenario with partial CSI is only marginal when either the source-destination or source-relay link is relatively strong.Index Terms-Cooperative communication, decode-andforward (DF), ergodic capacity, multiple-input multiple-output (MIMO), path selection, OSTBC.

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Ergodic capacity of decode-and-forward relay strategies over general fast fading channels

Cited by 12 publications

References 11 publications

Throughput and ergodic capacity of wireless energy harvesting based DF relaying network

Throughput and ergodic capacity of wireless energy harvesting based DF relaying network

Wireless energy harvesting in cooperative decode‐and‐forward relaying networks over mixed generalized η‐μ and κ‐μ fading channels

Capacity Analysis for Path Selection Based DF MIMO-OSTBC Cooperative Wireless Systems

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