A throughput enhanced transmission scheme for wireless sensor networks

Zhu, Jinshun; Zhao, Shancheng; Ma, Xiao

doi:10.1109/wcsp.2016.7752476

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Example I : Both belief propagation (BP) in [8] and successive cancellation (SCAN) in [9] are popular soft‐in soft‐out (SISO) decoding algorithms of polar code. Here we investigate the performance of soft iterative detection/decoding algorithm (SIDA) in [4] with BP or SCAN as its SISO decoder for comparison with the presented algorithm SCL‐based IEDA. We set maximum global iteration number of SIDA

K = 8

and the maximum local iteration numbers of BP and SCAN decoder are

I_{normalBP} = 40

and

I_{normalSCAN} = 16

.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In this case, the received signals are overlapped (non‐orthogonal). In order to recover the information from overlapped signals, many related works based on different encoding and decoding algorithms were proposed [2–4]. Zhu et al [4] proposed an overlapping scheme for sensor networks in which the overlapped signals are from different sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

“…In order to recover the information from overlapped signals, many related works based on different encoding and decoding algorithms were proposed [2][3][4]. Zhu et al [4] proposed an overlapping scheme for sensor networks in which the overlapped signals are from different sensor nodes. However, due to the signal amplitude constraint, it is hard to recover the information if two signals from different nodes are highly overlapped.…”

mentioning

confidence: 99%

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Polar code‐based overlapping transmission scheme for Internet of Vehicles

et al. 2018

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A polar code-based overlapping transmission scheme to improve channel utilisation for Internet of Vehicles is presented. In the presented scheme, different relay nodes (RNs) are allowed to send their packets to the destination node (DN) in the same time slot and frequency band. The signals from RNs to DN are overlapped and hence non-orthogonal. However, the information in the overlapped signals can be recovered by the proposed decoding algorithm. Numerical results show that the decoding algorithm performs well on information recovery in the presented transmission scheme.

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