A Soft Decode–Compress–Forward Relaying Scheme for Cooperative Wireless Networks

Jayakody, Dushantha Nalin K.; Flanagan, Mark F.

doi:10.1109/tvt.2015.2442459

Cited by 21 publications

(22 citation statements)

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“…Note that this model is quite similar to one proposed in [9], except that here the model is applied to the LLRs and not to the "soft modulated" symbols (an advantage of the current approach is that the LLRs may be modeled as having a Gaussian distribution). For this model, we choose the value of η which minimizes the mean-square value of the soft error, i.e., η = E[x RxR ] (c.f.…”

Section: A Calculation Of Llr At the Destinationmentioning

confidence: 99%

“…For this model, we choose the value of η which minimizes the mean-square value of the soft error, i.e., η = E[x RxR ] (c.f. [9]). Assuming the model of (5), the received signal at each source i in the third time slot can be written as y Ri = √ P R h Ri βηx R +n Ri , wheren Ri = n Ri + √ P R h Ri βñ.…”

Section: A Calculation Of Llr At the Destinationmentioning

confidence: 99%

“…A model to incorporate the effective noise associated with SIR has been proposed (for uncoded transmission) in [8] using hard, and Gaussian-distributed soft, errors. Recently, a soft decode-compress-forward scheme was proposed in [9]; this work featured a new model, referred to as the soft scalar model, to facilitate the LLR computation at the destination.…”

Section: Introductionmentioning

confidence: 99%

“…We consider a "soft" form of network coding at the relay, and we introduce a model for the effective noise experienced by the soft network coded symbols. This model is similar to that of [9] but in the former case, the model is used for soft bits generated via the expected value of the BPSK symbol ("tanh" function) at the relay; in this paper, the model is used for the network-coded a posteriori LLRs produced by the LDPC decoder. This model is then used to compute the log-likelihood ratios (LLRs) at the destination.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

LDPC coded soft forwarding with network coding for the two-way relay channel

Jayakody

Flanagan

2014

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)

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This paper investigates a low-density parity-check (LDPC) coded soft-decode-and-forward (SDF) relaying protocol for a two way relay channel (TWRC). In this SDF protocol, the relay evaluates the reliabilities, expressed as log-likelihood ratios (LLRs), of the received signals from the two sources. The relay then forwards a network-coded combination of the parity symbols of both sources, but in the "soft" domain to avoid error propagation from the relay. We introduce a model for the effective noise experienced by the soft network coded symbols, constituting the new parameters of soft scalar and soft error; this model is then used to compute the log-likelihood ratios (LLRs) at the destination. To facilitate this latter computation, we have derived an analytical expression for soft error variance, as well as a simplified expression based on a common assumption on the statistical behavior of the LLRs. This enables low-complexity computation and tracking of the soft error variance on-the-fly. The proposed system outperforms standard competing schemes reported in the literature in terms of error rate performance over Rayleigh fading links.

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Section: A Calculation Of Llr At the Destinationmentioning

confidence: 99%

Section: A Calculation Of Llr At the Destinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

LDPC coded soft forwarding with network coding for the two-way relay channel

Jayakody

Flanagan

2014

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)

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“…The important and interesting question this chapter tries to answer is what is the maximum aggregate throughput of a multi-radio multi-channel network when the cooperative transmission is available? Current studies on cooperative communications in multi-hop wireless network generally assume that the network nodes are equipped with only a single antenna [12][13][14][15][16][17][18][19][20], and it is unclear what capacity and performance gain can be achieved if nodes are equipped with multiple antennas. Despite the large potential beneit, it is highly non-trivial to make both CC and MRMC techniques to work seamlessly together.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Routing in Multi-Radio Multi-Hop Wireless Network

Xie¹,

He²,

Wang³

et al. 2017

Ad Hoc Networks

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There are many recent interests on cooperative communication (CC) in wireless networks. Despite the large capacity gain of CC in small wireless networks, CC can result in severe interference in large networks and even degraded throughput. The aim of this chapter is to concurrently exploit multi-radio and multi-channel (MRMC) and CC technique to combat co-channel interference and improve the performance of multi-hop wireless network. Our proposed solution concurrently considers cooperative routing, channel assignment, and relay selection and takes advantage of both MRMC technique and spatial diversity to improve the throughput. We propose two important metrics, contention-aware channel utilization routing metric (CACU) to capture the interference cost from both direct and cooperative transmission, and traic aware channel condition metric (TACC) to evaluate the channel load condition. Based on these metrics, we propose three algorithms for interference-aware cooperative routing, local channel adjustment, and local path and relay adaptation, respectively, to ensure high-performance communications in dynamic wireless networks. Our algorithms are fully distributed and can efectively mitigate co-channel interference and achieve cooperative diversity gain. To our best knowledge, this is the irst distributed solution that supports CC in MRMC networks. Our performance studies demonstrate that our algorithms can signiicantly increase the aggregate throughput.

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Outage analysis of opportunistic‐based hybrid decode‐amplify‐forward relaying in polar code environment

Madhusudhanan

Venkateswari

2019

Int J Communication

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Outage analysis plays a vital role in wireless systems to determine reliable transmission and effective communication. Incremental hybrid decodeamplify-forward (IHDAF) relay offers a way of meeting the challenges of capacity and coverage improvement with great potential in cooperative communication networks. Therefore, opportunistic incremental hybrid relaying must be integrated with coding schemes to achieve full diversity. In this paper, the outage behavior of polar coded and distributed coded cooperative relaying schemes is analyzed. Simulation results show that opportunistic incremental HDAF using polar code offers an outage capacity of 17 b/s/Hz for 4 × 4 multiantenna and 45 b/s/Hz in 8 × 8 multiantenna systems with an outage of 10 −8 and 10 −13 , respectively. Moreover, the polar coded opportunistic IHDAF system in 8 × 8 MIMO achieves 2 and 6 dB higher gains compared with amplify-and-forward (AF) and decode-and-forward (DF) relaying schemes. The closed-form expression for outage probability has been derived through Marcum-Q approximations and processed through Monte Carlo simulations.

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A Soft Decode–Compress–Forward Relaying Scheme for Cooperative Wireless Networks

Cited by 21 publications

References 24 publications

LDPC coded soft forwarding with network coding for the two-way relay channel

LDPC coded soft forwarding with network coding for the two-way relay channel

Cooperative Routing in Multi-Radio Multi-Hop Wireless Network

Outage analysis of opportunistic‐based hybrid decode‐amplify‐forward relaying in polar code environment

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