2018•Unpublished venueRequires access

Optimization Subcarrier Allocation and Genetic Algorithm for Resource Allocation in MIMO-OFDMA

Amalia Rizqi Utami, Iskandar Iskandar

Open publisher page 10 citations

Abstract

Resource Allocation is important to wireless communication, it has to allocation of signalling dimension between users in both uplink and downlink channel. In recent years, the user of wireless communication always increase day by day but the available spectrum is very limited. This paper will discussed about adaptive resource in MIMO based on subcarrier allocation (SA) and Genetic Algorithm (GA). The algorithm determines the number of subcarriers for each user and then handing over the subscriber to each user. Based on subcarrier allocation (SA), using SVD (Singular Value Decomposition) transform MIMO fading channel into an equivalent bank of parallel SISO (Single Input Single Output) subchannels. The new algorithm has lower complexity and with simulation can figure higher system capacity. The result showed with the algorithm can reduce the fairness and subcarrier allocation can provide capacity improvement.

About this research paper

What this paper is about

Resource Allocation is important to wireless communication, it has to allocation of signalling dimension between users in both uplink and downlink channel. In recent years, the user of wireless communication always increase day by day but the available spectrum is very limited. This paper will discussed about adaptive resource in MIMO based on subcarrier allocation (SA) and Genetic Algorithm (GA). The algorithm determines the number of subcarriers for each user and then handing over the subscriber to each user. Based on subcarrier allocation (SA), using SVD (Singular Value Decomposition) transform MIMO fading channel into an equivalent bank of parallel SISO (Single Input Single Output) subchannels. The new algorithm has lower complexity and with simulation can figure higher system capacity. The result showed with the algorithm can reduce the fairness and subcarrier allocation can provide capacity improvement.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Resource Allocation is important to wireless communication, it has to allocation of signalling dimension between users in both uplink and downlink channel. In recent years, the user of wireless communication always increase day by day but the available spectrum is very limited. This paper will discussed about adaptive resource in MIMO based on subcarrier allocation (SA) and Genetic Algorithm (GA). The algorithm determines the number of subcarriers for each user and then handing over the subscriber to each user. Based on subcarrier allocation (SA), using SVD (Singular Value Decomposition) transform MIMO fading channel into an equivalent bank of parallel SISO (Single Input Single Output) subchannels. The new algorithm has lower complexity and with simulation can figure higher system capacity. The result showed with the algorithm can reduce the fairness and subcarrier allocation can provide capacity improvement.

Key concepts: Subcarrier, Computer science, Resource allocation, Telecommunications link, MIMO, Fading, Orthogonal frequency-division multiplexing, Multi-user MIMO

Related papers

Back to paper searchBrowse research topicsOriginal source
Optimization Subcarrier Allocation and Genetic Algorithm for Resource Allocation in MIMO-OFDMA — Research Paper | ScholarLens