Bit Error Rate Minimizing Antenna Selection in Zero-Forcing Precoded MU-MIMO Systems.

Pérez, Dailys; Sampaio‐Neto, Raimundo

doi:10.14209/sbrt.2018.23

Cited by 6 publications

(17 citation statements)

References 7 publications

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“…As in [5], [6], let p ∈ {1, 0} N T denote a vector that indicates the subset of antennas that are activated, from the total set of N T antennas. For instance, let N T = 7 and N RF = 4, pattern p = 1 0 1 0 1 0 1 indicates that antennas with odd indexes are selected and the remaining are deactivated.…”

Section: B Precoded Su-mimo-ofdmmentioning

confidence: 99%

“…Here, we propose two methods: Mutual Information Method (MIM) and γ-Parameter Method (GPM). The former is used in non-precoded MIMO-OFDM systems, while the latter is specific for ZF-precoded MIMO-OFDM systems [5], [6].…”

Section: B Precoded Su-mimo-ofdmmentioning

confidence: 99%

“…Thus, the combination of both techniques results in system with enhanced performance and more resilient to communication errors. The main drawback of a MIMO-OFDM implementation is the cost, in terms of size, power consumption and hardware complexity, which is scaled with the number of antennas since there is a radio frequency (RF) chain and an OFDM modulator associated to each antenna element [6]. In order to overcome this challenge, strategies that can lower the energy consumption and the cost of implementation and operation are required.…”

Section: Introductionmentioning

confidence: 99%

“…Antenna selection strategies have been considered in several frequency-flat MIMO scenarios as viable solutions that reduce the hardware complexity through the use of a number of RF chains smaller than the number of available antennas in the system [6], [7], [8] . The underlying idea is to use a reduced number of RF chains and, based on the current channel characteristics, choose a subset of available antennas more adequate to communication to which the RF chains should be connected.…”

Section: Introductionmentioning

confidence: 99%

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Antenna Selection in MIMO-OFDM systems

Núñez¹,

Cal-Braz²,

Sampaio‐Neto³

2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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MIMO-OFDM results from combination of two well-known effective strategies used in many of today's communication technologies. It unites the well-known advantages of MIMO communication, such as high data rates and improved link reliability to the characteristics of OFDM, known as intersymbol-interference-free communication and simple frequency-domain equalization. This paper presents in detail the signal modelling of MIMO-OFDM system and the adequate processing at the receiver to perform decoupled detections per OFDM subsymbol. In addition, antenna selection strategies are proposed to increase system performance by exploiting a scenario when the transmitter is equipped with more antennas than the number of radiofrequency (RF) chains. Simulation results evidence that antenna selection strategies result in significant system performance improvement.

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Section: B Precoded Su-mimo-ofdmmentioning

confidence: 99%

Section: B Precoded Su-mimo-ofdmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Antenna Selection in MIMO-OFDM systems

Núñez¹,

Cal-Braz²,

Sampaio‐Neto³

2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

Self Cite

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“…Assim o sinal recebido pode ser expresso como 29) onde J k = H k P k é a matriz efetiva do canal do k-ésimo usuário.…”

Section: Recepçãounclassified

Codificação De Índice, Seleção De Antenas E Detecção De Sinais Em Sistemas Mu-Mimo Com GPSM

ZELAYA¹

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Generalized Pre-coding Aided Spatial Modulation (GPSM) is a MIMO system communication strategy in which the transmitter encodes the information in two entities: the parallel transmission of symbols belonging to a digital modulation constellation, and the choice of the indices of the information vector elements that carries the informaiton symbols, denoted information bearing positions (IBP), while the remaing positions are set to zero. Besides, the transmitter precodes, prior to transmission, the information vector, which lets the receiver node benefit from complexity reduction. Among the advantages of this strategies, the concentration of the transmitted energy only on the information vector positions that transports modulated symbols, resulting in system performance improvement. This thesis considers a multiuser MIMO (MU-MIMO) that employs GPSM in the donwlink transmission. The presented signal model to describe this system evidences the influence of the IBP coding matrices on the system performance. Based on this model, GPSM MU-MIMO system is presented considering three linear precoders: Zero-Forcing, Block Diagonalization and Double-Stage Block Diagonalization. For each precoder, strategies to select the IBP encoding matrix, acording to the matrix that describes the current MU-MIMO channel, is proposed. These matrices are to be employed by the user, aiming at system detection performance improvement. Detection performance curves are compared to semianalytic lower bounds. Finally, a scenario in which that are a number of available antennas at the BS and/or at the users that exceed the number of radiofrequency chains. this thesis porposes optimal and reduced complexity strategies that exploit the use of the most favorable antennas for transmission and/or reception, in addition to the choice of the IBP enconding matrices, aiming at system performance improvement.

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Cooperative Resource Allocation Technique for BER Improvement Compared to Priority Resource Allocation Technique in the MU-MIMO System

Reddy

Chanthirasekaran

2022

2022 11th International Conference on System Modeling &Amp; Advancement in Research Trends (SMART)

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Bit Error Rate Minimizing Antenna Selection in Zero-Forcing Precoded MU-MIMO Systems.

Cited by 6 publications

References 7 publications

Antenna Selection in MIMO-OFDM systems

Antenna Selection in MIMO-OFDM systems

Codificação De Índice, Seleção De Antenas E Detecção De Sinais Em Sistemas Mu-Mimo Com GPSM

Cooperative Resource Allocation Technique for BER Improvement Compared to Priority Resource Allocation Technique in the MU-MIMO System

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