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5g-and-new-data-offloading-scheme-over-d2d icon 5g-and-new-data-offloading-scheme-over-d2d

The idea of offloading 5G cellular data over WiFi is becoming very popular nowadays. Offloading data over active WiFi connection in Handsets may reduce the dependency on small cells in our environment, reduces the traffic at the Base Transceiver Station (BTS) and reduces the cost of setting up 5G infrastructure. Furthermore, offloading over WiFi does not compromise the 5G speed that is the huge amount of 5G data can be offloaded over WiFi connection in Handsets with the speed promised by the 5G cellular network. Many published paper suggested “delayed offloading” in which traffic will be delayed up to an allowed deadline if the WiFi connection is inactive or until the WiFi connection again becomes available. In this paper, we proposed a routing scheme for offloading 5G cellular data where the data at a user’s handset will first collect in WiFi queue to offload over WiFi and if the WiFi connection is inactive in the user’s handset then the data will wait in the queue for a given deadline and while it waits in the WiFi queue, the user’s handset will try to set up a device to device (D2D) connection with a neighboring handset with an active WiFi connection. When the deadline will reach for the data in the WiFi queue, the user data will be sent to the neighboring handset which has an active WiFi connection and which will allow the user’s data to be offloaded through it, otherwise, if no handset with an active WiFi connection is found in the environment, after the deadline the data will be sent in the typical gruesome manner to the BTS through several small cells.

adversarial-rl icon adversarial-rl

A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock market setting. The strategies adjusted weights to different stocks over time to maximize profits.

altfreezing icon altfreezing

[CVPR 2023 Highlight] Official implementation of the paper: "AltFreezing for More General Video Face Forgery Detection"

awesome-python3-webapp icon awesome-python3-webapp

小白的Python入门教程实战篇:网站+iOS App源码→ http://t.cn/R2PDyWN 赞助→ http://t.cn/R5bhVpf

carla-rl icon carla-rl

Environments and Wrappers for CARLA, designed for ease of use with RL Tasks.

cptcld icon cptcld

Charging Protocol based on Traffic Classification for LTE D2D Communication

crars_in_md2d icon crars_in_md2d

A Centralized Heuristic Approach to Allocate Resources and Select Relays in Multi-hop D2D Networks

crcd icon crcd

These codes and the corresponding Android application for D2D communications that are available at (https://github.com/CRCDApp/CRCD) have been developed by the GTMD research Lab at Isfahan University of Technology and the NetSciWiS research Lab at Virginia Tech (ECE Department), under the supervision of Dr. Mohammad Hossein Manshaei and Dr. Walid Saad, respectively. For further information, feel free to contact us at: [email protected] or [email protected].

d2d-app-android icon d2d-app-android

Developing a D2D communication link using WIFI-Direct(Android) + Firebase

d2d-arloadmodellc icon d2d-arloadmodellc

modified arLoadModel function of d2d to include easier input of linear (delay) chains

d2d-caching-simulation icon d2d-caching-simulation

Hybrid network simulation with base station and satellite. It enables comparing D2D caching algorithms.

d2dcommsimul icon d2dcommsimul

This repository includes the idea of effective D2D Communication method using Matching theoretic approach

d2dcommwithdynamicrouting icon d2dcommwithdynamicrouting

Android application that enables communication among devices in a device to device manner with heterogeneous(using bluetooth and WiFi Direct both) dynamic routing scheme

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