MIMO systems Archives - GaussianWaves

Maximum Ratio Combining (MRC) architecture simulation

Mathuranathan — Fri, 17 Jan 2020 06:13:44 +0000

In the previous post on Single Input Multiple Output (SIMO) models for receive diversity, various receiver diversity techniques were outlined. One of them is maximum ratio combining, the focus of the topic here. Channel model Assuming flat slow fading channel, the received signal model is given by where, is the channel impulse response, is the ... Read more

The post Maximum Ratio Combining (MRC) architecture simulation appeared first on GaussianWaves.

Selection Combining – architecture simulation

Mathuranathan — Tue, 10 Dec 2019 09:50:23 +0000

In the previous post on Single Input Multiple Output (SIMO) models for receive diversity, various receiver diversity techniques were outlined. One of them is selection combining, the focus of the topic here. Channel model Assuming flat slow fading channel, the received signal model is given by where, is the channel impulse response, is the received ... Read more

The post Selection Combining – architecture simulation appeared first on GaussianWaves.

Receive diversity schemes – channel models

Mathuranathan — Fri, 06 Dec 2019 06:06:42 +0000

SIMO channel configuration is characterized by 1 transmit antenna and multiple receiver antennas (Figure 1). SIMO configuration is used to provide receive diversity, where the same information is received across independent fading channels to combat fading. When multiple copies of the same data are received across independently fading channels, the amount of fade suffered by each ... Read more

The post Receive diversity schemes – channel models appeared first on GaussianWaves.

Capacity of MIMO system over fading Channels

Mathuranathan — Mon, 10 Nov 2014 10:26:16 +0000

As reiterated in the previous article, a MIMO system is used to increase the capacity dramatically and also to improve the quality of a communication link. Increased capacity is obtained by spatial multiplexing and increased quality is obtained by diversity techniques (Space time coding). Capacity of MIMO system over a variety of channels (AWGN, fading ... Read more

The post Capacity of MIMO system over fading Channels appeared first on GaussianWaves.

Ergodic Capacity of SISO flat fading channel

Mathuranathan — Thu, 18 Sep 2014 06:25:27 +0000

Understand ergodic capacity of a SISO flat-fading system over fading channels. Model and simulate capacity curves in Matlab. Channel model In the previous post, derivation of SISO fading channel capacity was discussed. For a flat fading channel (model shown below), with the perfect knowledge of the channel at the receiver, the capacity of a SISO ... Read more

The post Ergodic Capacity of SISO flat fading channel appeared first on GaussianWaves.

Capacity of SISO system over a fading channel

Mathuranathan — Fri, 05 Sep 2014 08:04:22 +0000

As reiterated in the previous article, a MIMO system is used to increase the capacity dramatically and also to improve the quality of a communication link. Increased capacity is obtained by spatial multiplexing and increased quality is obtained by diversity techniques (Space time coding). Capacity equations of a MIMO system over a variety of channels ... Read more

The post Capacity of SISO system over a fading channel appeared first on GaussianWaves.

Model and characterize MIMO channels

Mathuranathan — Wed, 20 Aug 2014 02:54:16 +0000

Two flavors of MIMO implementation – spatial multiplexing and spatial diversity – were discussed in the previous article. In that, it was mentioned that the reliability of a MIMO system is governed by diversity and the capacity of the link is governed by degrees of freedom. Channel State Information (CSI) Multiple data streams can be ... Read more

The post Model and characterize MIMO channels appeared first on GaussianWaves.

Diversity techniques and spatial multiplexing

Mathuranathan — Wed, 06 Aug 2014 07:25:49 +0000

The wireless communication environment is very hostile. The signal transmitted over a wireless communication link is susceptible to fading (severe fluctuations in signal level), co-channel interference, dispersion effects in time and frequency, path loss effect, etc. On top of these woes, the limited availability of bandwidth posses a significant challenge to a designer in designing ... Read more

The post Diversity techniques and spatial multiplexing appeared first on GaussianWaves.

Introduction to Multiple Antenna Systems

Mathuranathan — Fri, 01 Aug 2014 09:07:22 +0000

Regarded as a breakthrough in wireless communication system design, multiple antenna systems fuel the ever increasing data rate requirements of advanced technologies like UMTS, LTE, WLAN etc. Multiple antenna systems come in different flavors and are generally referred as Multiple Input Multiple Output systems (MIMO). In a series of articles, I intend to cover various ... Read more

The post Introduction to Multiple Antenna Systems appeared first on GaussianWaves.