Adapting Deep Learning for Content Caching Frameworks in Device-to-Device Environments

Bajpai, Rahul; Chakraborty, Souradeep; Gupta, Naveen

doi:10.1109/ojcoms.2022.3175927

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…In the absence of prior knowledge, Souradeep Chakraborty et al 32 propose an "R2‐D2D" framework, which uses an LSTM stacked with a recently developed full‐scale convolutional neural network (CNN) 33 to make caching decisions. Rahul Bajpai et al 31 add attention mechanisms to the deep learning framework to carry out D2D content cache for time series prediction. This strategy can better adapt to realistic scenarios under the condition of minimum hypothesis.…”

Section: Related Workmentioning

confidence: 99%

“…28 Jiang et al 29 designe a D2D caching strategy using multiagent reinforcement learning, and used Q-learning to learn how to coordinate the caching decisions. Li et al 30 use the echo state network (ESN) and long short-term memory (LSTM) network 31 to predict user mobility and content popularity, not only improving the cache hit rate but they also reduced the request content delivery delay and energy consumption. In the absence of prior knowledge, Souradeep Chakraborty et al 32 propose an εR2-D2Dε framework, which uses an LSTM stacked with a recently developed full-scale convolutional neural network (CNN) 33 to make caching decisions.…”

Section: Related Workmentioning

confidence: 99%

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Content sharing strategy for blind popularity distribution in D2D communications

Zhuang

Song²,

Chen

et al. 2023

Trans Emerging Tel Tech

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The development of multimedia content continuously encourages the appearances of new multimedia applications. Meanwhile, Device to Device (D2D) is regarded as an important 5G technology that creates a direct connection between two mobile devices. We combine the content sharing traits in D2D network situations in response to the problem of massive amounts of multimedia content being distributed. As a result, in this paper, we provide a popularity‐based information mining and content placement strategy for blind popularity distribution in D2D scenarios. To analyze the cache hit performance in D2D networks under the presumption of deterministic content popularity, we first construct a D2D content caching framework. Then, we design a multiarm bandits model and suggest a single and multicache placement policy based on online learning for blind popularity in D2D networks. Finally, the experimental results demonstrate that the proposed method achieves better convergence and a better cache hit ratio than the other strategies.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Content sharing strategy for blind popularity distribution in D2D communications

Zhuang

Song²,

Chen

et al. 2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…networks to improve the content delivery process [6]. In cacheenabled wireless networks, the popular contents are usually fetched from the core network during off-peak times [7], [8], and the users can directly receive the requested contents from the edge nodes rather than from the core network. As a result, the transmission latency can be significantly reduced since the data is closer to the users.…”

Section: Introductionmentioning

confidence: 99%

Content-Aware Transmission in UAV-Assisted Multicast Communication

Zhang

Xiong

et al. 2023

IEEE Trans. Wireless Commun.

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To alleviate the explosive growth of data traffic caused by the increased use of smart devices, new transmission techniques are needed to increase the utilization of limited bandwidth resources and for providing high transmission rates in future wireless networks. On the other hand, due to their flexibility and autonomy, unmanned aerial vehicles (UAVs) are considered as a potential candidate to support ubiquitous connectivity and operate as flying base stations, where the deployment of UAVs can affect the quality of experience (QoE) of users. Hence, in this paper, we employ UAVs as aerial base stations to transmit data to ground users (GUs) via air to ground (A2G) communication links, where we show how content awareness can help improve the data rate. Specifically, we design two contentsharing (CS) data transmission schemes to improve the average data rate of the GUs. Additionally, two UAV deployment strategies, namely the fixed-point deployment scheme and traversesearch deployment scheme, are proposed based on the proposed CS transmission schemes. The simulation results demonstrate that our proposed data transmission schemes combined with their proposed deployment schemes outperform the traditional transmission scheme by 26 bits/s/Hz and 51 bits/s/Hz, respectively.

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Exploring the Use of Mobile Communication in Achieving Sustainable Development Goals: An Indian Perspective

Pandey,

Mehrotra

2024

Role of Science and Technology for Sustainable Future

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Adapting Deep Learning for Content Caching Frameworks in Device-to-Device Environments

Cited by 7 publications

References 23 publications

Content sharing strategy for blind popularity distribution in D2D communications

Content sharing strategy for blind popularity distribution in D2D communications

Content-Aware Transmission in UAV-Assisted Multicast Communication

Exploring the Use of Mobile Communication in Achieving Sustainable Development Goals: An Indian Perspective

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