2015Unpublished venueRequires access

Capacity of precoding for MU-MIMO systems

Taek Keun Lyu, Xin Wang

Open publisher page 5 citations

Abstract

Spatial multiplexing have drawn a lot of attention for many years due to their great potential to achieve high throughput of MIMO systems implemented in wireless communication systems. It is well known that in a single user case the capacity scales linearly with the minimum number of transmit and receive antennas. Many linear precoding techniques require each antenna to transmit its own data. In this paper, we analyze the latest technology of MIMO with theoretic background. We compare the increasing features of capacity by using two precoding methods based on spatial multiplexed system. We apply two precodings to multiple antennas, considering MU-MIMO downlink. Finally, the simulation result demonstrates how the number of antennas has an effect on capacity.

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What this paper is about

Spatial multiplexing have drawn a lot of attention for many years due to their great potential to achieve high throughput of MIMO systems implemented in wireless communication systems. It is well known that in a single user case the capacity scales linearly with the minimum number of transmit and receive antennas. Many linear precoding techniques require each antenna to transmit its own data. In this paper, we analyze the latest technology of MIMO with theoretic background. We compare the increasing features of capacity by using two precoding methods based on spatial multiplexed system. We apply two precodings to multiple antennas, considering MU-MIMO downlink. Finally, the simulation result demonstrates how the number of antennas has an effect on capacity.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Spatial multiplexing have drawn a lot of attention for many years due to their great potential to achieve high throughput of MIMO systems implemented in wireless communication systems. It is well known that in a single user case the capacity scales linearly with the minimum number of transmit and receive antennas. Many linear precoding techniques require each antenna to transmit its own data. In this paper, we analyze the latest technology of MIMO with theoretic background. We compare the increasing features of capacity by using two precoding methods based on spatial multiplexed system. We apply two precodings to multiple antennas, considering MU-MIMO downlink. Finally, the simulation result demonstrates how the number of antennas has an effect on capacity.

Key concepts: Precoding, Spatial multiplexing, MIMO, Telecommunications link, Multi-user MIMO, Spatial correlation, Computer science, Multiplexing

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