2015•Unpublished venueRequires access

Adaptive spatial multiplexing order based on cumulative channel capacity

Masaaki Kato, Naoto Sasaoka, Kazuki Aono, Yoshio Itoh

Open publisher page 2 citations

Abstract

We investigate an adaptive spatial multiplexing order based on an increase in channel capacity. The channel capacity of a MIMO (Multiple Input Multiple Output) system increases linearly as the number of transmit antennas. However, the throughput cannot increase in a poor channel environment as the number of antennas. The spatial multiplexing order is then required to be controlled according to channel state. Although the spatial multiplexing order depends on rank of a MIMO channel, it which gives the maximum throughput is less than the rank of a MIMO channel. This is because of a gap between an ideal channel capacity and actual channel capacity due to additive white Gaussian noise (AWGN) and the performance of a transmitter and a receiver. In order to solve the problem, the proposed adaptive spatial multiplexing order system takes advantages of cumulative channel capacity.

About this research paper

What this paper is about

We investigate an adaptive spatial multiplexing order based on an increase in channel capacity. The channel capacity of a MIMO (Multiple Input Multiple Output) system increases linearly as the number of transmit antennas. However, the throughput cannot increase in a poor channel environment as the number of antennas. The spatial multiplexing order is then required to be controlled according to channel state. Although the spatial multiplexing order depends on rank of a MIMO channel, it which gives the maximum throughput is less than the rank of a MIMO channel. This is because of a gap between an ideal channel capacity and actual channel capacity due to additive white Gaussian noise (AWGN) and the performance of a transmitter and a receiver. In order to solve the problem, the proposed adaptive spatial multiplexing order system takes advantages of cumulative channel capacity.

Why it matters

OpenAlex reports 2 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

We investigate an adaptive spatial multiplexing order based on an increase in channel capacity. The channel capacity of a MIMO (Multiple Input Multiple Output) system increases linearly as the number of transmit antennas. However, the throughput cannot increase in a poor channel environment as the number of antennas. The spatial multiplexing order is then required to be controlled according to channel state. Although the spatial multiplexing order depends on rank of a MIMO channel, it which gives the maximum throughput is less than the rank of a MIMO channel. This is because of a gap between an ideal channel capacity and actual channel capacity due to additive white Gaussian noise (AWGN) and the performance of a transmitter and a receiver. In order to solve the problem, the proposed adaptive spatial multiplexing order system takes advantages of cumulative channel capacity.

Key concepts: Spatial multiplexing, Spatial correlation, MIMO, Multiplexing, Channel capacity, Channel (broadcasting), Additive white Gaussian noise, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Adaptive spatial multiplexing order based on cumulative channel capacity — Research Paper | ScholarLens