Coordinates-based Resource Allocation Through Supervised Machine Learning

by   Sahar Imtiaz, et al.

Appropriate allocation of system resources is essential for meeting the increased user-traffic demands in the next generation wireless technologies. Traditionally, the system relies on channel state information (CSI) of the users for optimizing the resource allocation, which becomes costly for fast-varying channel conditions. Considering that future wireless technologies will be based on dense network deployment, where the mobile terminals are in line-of-sight of the transmitters, the position information of terminals provides an alternative to estimate the channel condition. In this work, we propose a coordinates-based resource allocation scheme using supervised machine learning techniques, and investigate how efficiently this scheme performs in comparison to the traditional approach under various propagation conditions. We consider a simplistic system set up as a first step, where a single transmitter serves a single mobile user. The performance results show that the coordinates-based resource allocation scheme achieves a performance very close to the CSI-based scheme, even when the available coordinates of terminals are erroneous. The proposed scheme performs consistently well with realistic-system simulation, requiring only 4 s of training time, and the appropriate resource allocation is predicted in less than 90 microseconds with a learnt model of size less than 1 kB.


page 1

page 5

page 8

page 9

page 11

page 12

page 14


Resource Allocation Based on Deep Neural Networks for Cognitive Radio Networks

Resource allocation is of great importance in the next generation wirele...

Mobility-Aware Resource Allocation in VLC Networks Using T-Step Look-Ahead Policy

Visible light communication (VLC) uses huge license-free spectral bandwi...

Resource allocation method using tug-of-war-based synchronization

We propose a simple channel-allocation method based on tug-of-war (TOW) ...

Deep Learning-based Resource Allocation For Device-to-Device Communication

In this paper, a deep learning (DL) framework for the optimization of th...

Market-based Short-Term Allocations in Small Cell Wireless Networks

Mobile users (or UEs, to use 3GPP terminology) served by small cells in ...

Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview

Over the last decade, simultaneous wireless information and power transf...

Resource Allocation with Stability Constraints of an Edge-cloud controlled AGV

The paper proposes Resource Allocation (RA) schemes for a closed loop fe...

Please sign up or login with your details

Forgot password? Click here to reset