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Comparison between Zero Forcing and
Maximum RatioTransmission on the
Energy Efficiency of Downlink Massive
MIMO under impe...
Agenda
• Introduction
• MIMO
• Challenges in Massive MIMO
• System Model Description
• Objective
Introduction
• Massive MIMO (Multiple Input Multiple Output) is an
emerging technology in wireless communications
that has...
MIMO
• We use MIMO technology to increase
the data capacity with efficient
transmission and less power
consumption.
• Syst...
Massive MIMO has some challenges
• One of the challenge includes finding a way to communicate the channel
state informatio...
System Model Description
• This project investigates and analyzes the
effect of channel estimation errors on the
energy pe...
Objective
• To study the effect of channel estimation errors on the energy efficiency of
downlink massive MIMO systems.
• ...
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Comparison between Zero Forcing (ZF) & Maximum Ratio Transmission (MRT) on the energy efficiency of Downlink Massive MIMO under imperfect CSI

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In this presentation the effect of channel estimation errors on the energy efficiency of a down-link massive multiple-input multiple-output system is investigated and analyzed. The required down-link transmit power of the zero forcing (ZF) and maximum ratio transmission (MRT) precoding schemes are derived and analyzed under imperfect channel state information condition.

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Comparison between Zero Forcing (ZF) & Maximum Ratio Transmission (MRT) on the energy efficiency of Downlink Massive MIMO under imperfect CSI

  1. 1. Comparison between Zero Forcing and Maximum RatioTransmission on the Energy Efficiency of Downlink Massive MIMO under imperfect CSI Proposal of project course GE501 Presented by – Gameel & Siddiqui
  2. 2. Agenda • Introduction • MIMO • Challenges in Massive MIMO • System Model Description • Objective
  3. 3. Introduction • Massive MIMO (Multiple Input Multiple Output) is an emerging technology in wireless communications that has attracted a lot of interest. • The wireless technology improvement where the numbers of users and applications increase rapidly. • Wireless communications need the high data rate and link reliability with lesser power consumption at the same time. • With the large number of antennas used, the base station (BS) can focus its emitted energy into the spatial directions where it knows that the terminals are located, and then the system transmit power can be minimized.
  4. 4. MIMO • We use MIMO technology to increase the data capacity with efficient transmission and less power consumption. • System performance has been widely investigated under different assumptions on channel state information (CSI) which corresponds to channel response estimate. • The performance includes the total downlink transmit power using the zero-forcing (ZF) and maximum ratio transmission (MRT) as conventional linear pre-coding scheme
  5. 5. Massive MIMO has some challenges • One of the challenge includes finding a way to communicate the channel state information (CSI) from the receiver to the transmitter for pre-coding. • Both the time-frequency resources allocated for pilot transmission and the channel coherence time are limited ,the number of possible orthogonal pilot sequences is limited too. • A particular cell may get contaminated because of pilots used by other users in their respective cell.
  6. 6. System Model Description • This project investigates and analyzes the effect of channel estimation errors on the energy performance of a single cell downlink massive MIMO system. As shown in Fig. 2 • In massive MIMO system, the base station needs to know the channel information for beam forming and coherent detection. • That is why Channel state information (CSI) is an important issue in multiuser communication systems.
  7. 7. Objective • To study the effect of channel estimation errors on the energy efficiency of downlink massive MIMO systems. • To analyze zero forcing (ZF) and maximum ratio transmission (MRT) precoding schemes under imperfect channel state information condition. • To observe results as the reliability of the estimation increases from zero, power increases to a certain point and begins to decrease. • The value of reliability where the power begins to decrease depends on the number of base station antennas and the number of users within the cell.

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