JOURNAL ARTICLE

A resource scheduling algorithm based on carrier weight in LTE-Advanced system with Carrier Aggregation

Abstract

In this paper, we focus on the resource scheduling of Long Term Evolution - Advanced (LTE-A) with Carrier Aggregation (CA). Application of CA meets the demand of bandwidth in LTE-A by aggregating several discrete carriers together. With different fading characters, the aggregated carriers have different coverage between each other. Considering the backward compatibility, there exist both LTE-A and LTE users. In order to improve the performance of LTE users and cell edge users, an improved proportional fair (PF) scheduling algorithm suitble to multi-carrier system is proposed. In this algorithm, a variable to limit the number of carriers each user can access is set, and a carrier weight factor which is composed of carrier coverage weight factor and user category weight factor is introduced. Simulation results show that the proposed algorithm can effectively improve the performance of cell edge users and LTE users.

Keywords:
Computer science LTE Advanced Scheduling (production processes) Fading Algorithm Proportionally fair Distributed computing Computer network Fair-share scheduling Quality of service Mathematical optimization Round-robin scheduling Telecommunications link Mathematics

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Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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