Compress and Forward Cooperative Relay in Device-to-Device Communication with and without Coding Techniques

Ghallab, Rna; Sakr, Ali A.; Shokair, Mona; Elazm, Atef Abou

doi:10.1109/icces.2018.8639187

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…Figure 4 shows the device relaying communication with device controlled link establishment (DR-DC). Source and goal device legitimately converse with one another and don't utilize any control interface from the administrator [16][17].…”

Section: Figure 1 Overview Of D2d Broadcastmentioning

confidence: 99%

Effect of increasing the network capacity using device-to-device technology for next generation networks

Yonis¹

2020

IJEECS

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Device-to-device (D2D) communication is one of the key technologies in the fifth generation of wireless communication systems, which is defined as direct communication between two mobile users without traversing the base station D2D communication plays an increasingly important role and which improves communication capability and reduces communication delay and power consumption. D2D communication that enables direct communication between nearby mobiles is an exciting and innovative feature of next-generation cellular networks. In order to meet the rising subscriber demands and provide them satisfactory services, D2D communication is being looked upon as an emerging technology of the next generation networks.

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Section: Figure 1 Overview Of D2d Broadcastmentioning

confidence: 99%

Effect of increasing the network capacity using device-to-device technology for next generation networks

Yonis¹

2020

IJEECS

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“…Each of them has different amplification gains. • R 1 indicates to CF relay with Wyner-Ziv coding [16].…”

Section: Electronic Relay With a Single User Networkmentioning

confidence: 99%

“…The relay compresses the CU sequence ( γ sr ) and encodes the compressed purview using Wyner–Ziv code with code word X r [16]. Then, CF relay retransmits X r to the destination.…”

Section: Analytical Analysis Of the Electronic Relay Techniquesmentioning

confidence: 99%

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Performance enhancement using multiple‐input multiple‐output (MIMO) electronic relay in massive MIMO cellular networks

et al. 2019

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Device-to-device (D2D) communication system is considered one of the most effective technology directions for solving the spectrum scarcity problem in 5G wireless communication. In this study, an electronic relay is proposed to be utilised in D2D communication. The electronic relay is a hybrid cooperative relay consisting of compress and forward relay with and without coding techniques, decode and forward relay and amplify and forward relay with variable gain. The selection of the most appropriate one has performed automatically according to the feedback channel state information. Additionally, the multipleinput multiple-output (MIMO) electronic relay with the multiuser and massive MIMO destination is introduced. The closed formulas of the outage probability for both cellular user and D2D transmission are derived. Furthermore, the analytical discussions for the proposed electronic relay are executed. Extensive MATLAB simulation programmes are executed to study the performance of the proposed system and to compare it with the conventional one. Moreover, the average sum rate is derived in terms of a number of electronic relay antennas and the D2D density through cellular networks.

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“…Given that a cellular base station may communicate with hundreds of users simultaneously, storing soft bits from failed packets requires efficient and low-distortion quantization methods to avoid memory bottlenecks on the platform. Another application area where a flexible trade-off between compression rate and reconstruction distortion is desirable is given by compress-and-forward relaying schemes [6], [7], where estimated soft bits are forwarded to a receiver and compressed in order to lower relay channel resource utilization.…”

Section: Introductionmentioning

confidence: 99%

Wideband and Entropy-Aware Deep Soft Bit Quantization

Arvinte¹,

Tamir²

2021

Preprint

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Deep learning has been recently applied to physical layer processing in digital communication systems in order to improve end-to-end performance. In this work, we introduce a novel deep learning solution for soft bit quantization across wideband channels. Our method is trained end-to-end with quantization-and entropy-aware augmentations to the loss function and is used at inference in conjunction with source coding to achieve near-optimal compression gains over wideband channels. To efficiently train our method, we prove and verify that a fixed feature space quantization scheme is sufficient for efficient learning. When tested on channel distributions never seen during training, the proposed method achieves a compression gain of up to 10% in the high SNR regime versus previous state-of-the-art methods. To encourage reproducible research, our implementation is publicly available at https://github.com/utcsilab/wideband-llr-deep.

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Compress and Forward Cooperative Relay in Device-to-Device Communication with and without Coding Techniques

Cited by 5 publications

References 10 publications

Effect of increasing the network capacity using device-to-device technology for next generation networks

Effect of increasing the network capacity using device-to-device technology for next generation networks

Performance enhancement using multiple‐input multiple‐output (MIMO) electronic relay in massive MIMO cellular networks

Wideband and Entropy-Aware Deep Soft Bit Quantization

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