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Device to Device Pairs Sharding based on Distance

K Prajwal, Tharun K, Navaneeth P, Ishwar Mandal, Kiran M

TL;DR

This work addresses the need for scalable D2D communication within licensed cellular networks by proposing a distance-based sharding approach. It leverages K-means clustering to partition UEs into three shards, each containing at least one cellular user (CU), and forms D2D pairs within shards while evaluating link quality via SINR measurements. The methodology includes constructing a small network with one eNB, D2D pairs, and CUs, random node placement, a custom Point structure, and SINR reporting mechanisms. The results demonstrate feasible shard formation with proper CU distribution and show SINR tracking over time, indicating potential for efficient D2D offloading and improved network capacity in next-generation networks.

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.

Device to Device Pairs Sharding based on Distance

TL;DR

This work addresses the need for scalable D2D communication within licensed cellular networks by proposing a distance-based sharding approach. It leverages K-means clustering to partition UEs into three shards, each containing at least one cellular user (CU), and forms D2D pairs within shards while evaluating link quality via SINR measurements. The methodology includes constructing a small network with one eNB, D2D pairs, and CUs, random node placement, a custom Point structure, and SINR reporting mechanisms. The results demonstrate feasible shard formation with proper CU distribution and show SINR tracking over time, indicating potential for efficient D2D offloading and improved network capacity in next-generation networks.

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.

Paper Structure

This paper contains 12 sections, 1 equation, 6 figures.

Table of Contents

  1. Introduction
  2. Literature Survey
  3. Problem Statement
  4. Objectives
  5. Methodology
  6. D2D and CU nodes Creation
  7. Position Creation of D2D nodes and CU nodes
  8. The point structure
  9. K-Means Clustering
  10. Calculating SINR
  11. Results and Analysis
  12. Conclusion

Figures (6)

  • Figure 1: D2D Features
  • Figure 2: Flowchart of Model
  • Figure 3: Figure depicting the K-Means Clustering algorithm
  • Figure 4: Code Snippet for declaring the path that calculates the SINR
  • Figure 5: Screenshot of the Sharding of N D2D pairs
  • ...and 1 more figures