Device to Device Pairs Sharding based on Distance

TL;DR

This paper proposes a D2D communication model that uses distance-based sharding with K-means clustering to improve network capacity and meet the demands of future high-data-rate cellular networks.

Contribution

It introduces a novel distance-based sharding approach for D2D communication using K-means clustering, bypassing the base station.

Findings

Enhanced network capacity through D2D communication

Effective clustering of devices based on distance

Potential reduction in network latency

Abstract

In the conventional cellular system, devices are not allowed to communicate directly with each other in the licensed cellular bandwidth and all communications take place through the base stations. The users requirements has led the technology to become fast and faster. Multimedia rich data exchange, fast service, high quality voice calls, newer and more demanding applications, information at fingertips, everything requires technology and communication between devices. A constant need to increase network capacity for meeting the users growing demands has led to the growth of cellular communication networks from the first generation(1G) to the fifth generation(5G). There will be crores of connected devices in the coming future . A large number of connections are going to be heterogeneous, demanding lesser delays, higher data rates, superior throughput and enhanced system capacity. The available spectrum resources are limited and has to be flexibly used by mobile network operators to cope with the rising demands. An emerging facilitator of the upcoming high data rate demanding next-generation networks are device-to-device(D2D) communication. This paper has developed a model that establishes Device-to-Device (D2D) communication between two end-users without involving the eNB (evolved Node B). We have sharded the UEs and CUs based on the criteria of DISTANCE. To do so, we used the K-means clustering method.