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Energy-Efficient and Spectrally-Efficient MIMO

Authors: Silva, Mário Marques da; Dinis, Rui; Guerreiro, João;

Energy-Efficient and Spectrally-Efficient MIMO

Abstract

While enabling energy efficiency and spectral efficiency, MIMO systems tends to be associated to an exponential increase of complexity and of signal processing, with the increase of the number of transmit and receive antennas. As described in this article, a reduction of complexity can be obtained with the use of the two proposed algorithms: Maximum Ratio Combining (MRC), and Equal Gain Combining (EGC). These algorithms are compared with the Zero Forcing (ZF). While ZF requires the computation of the pseudo-inverse of the channel matrix for each frequency component, such processing is not required for MRC/EGC, keeping the complexity requirements at low level, but generating a certain level of interference. In this article, we consider an iterative receiver that mitigates the interference associated to MRC/EGC, leading to a performance very close to that obtained with conventional pilots, but without the corresponding loss in the spectral efficiency. 5G Communications will support millimeter waves (mm-Wave), alongside with the conventional centimeter waves, which will enable much higher throughputs and facilitate the employment of hundreds or thousands of antenna elements, commonly referred to as Massive Multiple Input Multiple Output (MIMO) systems

6F1A-06CB-E82D | Mário Pedro Guerreiro Marques da Silva

N/A

Country
Portugal
Related Organizations
Keywords

mm-Wave, Energy Efficiency, MIMO Systems, SC-FDE, postprocessing, 5G

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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