Performance of multiuser MIMO system employing block diagonalization with antenna selection at mobile stations

Wang, Feng; Bialkowski, M.E.

doi:10.1109/icsps.2010.5555386

Cited by 6 publications

(5 citation statements)

References 14 publications

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“…Because the purpose of the method in [32], [33] is basically the same as that of the AS method, the quantitative comparison in terms of the BER performance and calculation complexity should be evaluated as future work.…”

Section: Resultsmentioning

confidence: 99%

“…Methods that reduce the number of pattern nulls for the IUI in the BD algorithm are already proposed in [32] and [33]. Because the former method reduces the number of pattern nulls by the antenna selection at the UT, the basic idea in [32] is the same as that in the AS method. However, the additional method in [34] is used as the measure on the antenna selection in [32].…”

Section: Introductionmentioning

confidence: 99%

“…Because the former method reduces the number of pattern nulls by the antenna selection at the UT, the basic idea in [32] is the same as that in the AS method. However, the additional method in [34] is used as the measure on the antenna selection in [32]. Consequently, the AS method realizes the simpler antenna selection than the method in [32].…”

Section: Introductionmentioning

confidence: 99%

“…However, the additional method in [34] is used as the measure on the antenna selection in [32]. Consequently, the AS method realizes the simpler antenna selection than the method in [32].…”

Section: Introductionmentioning

confidence: 99%

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Effect of User Antenna Selection on Block Beamforming Algorithms for Suppressing Inter-User Interference in Multiuser MIMO System

Kikuma

Nishimori

Hiraguri

2018

IEICE Trans. Commun.

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Multiuser MIMO (MU-MIMO) improves the system channel capacity by generating a large virtual MIMO channel between a base station and multiple user terminals (UTs) with effective utilization of wireless resources. Block beamforming algorithms such as Block Diagonalization (BD) and Block Maximum Signal-to-Noise ratio (BMSN) have been proposed in order to realize MU-MIMO broadcast transmission. The BD algorithm cancels inter-user interference (IUI) by creating the weights so that the channel matrices for the other users are set to be zero matrices. The BMSN algorithm has a function of maintaining a high gain response for each desired user in addition to IUI cancellation. Therefore, the BMSN algorithm generally outperforms the BD algorithm. However, when the number of transmit antennas is equal to the total number of receive antennas, the transmission rate by both BD and BMSN algorithms is decreased. This is because the eigenvalues of channel matrices are too small to support data transmission. To resolve the issue, this paper focuses on an antenna selection (AS) method at the UTs. The AS method reduces the number of pattern nulls for the other users except an intended user in the BD and BMSN algorithms. It is verified via bit error rate (BER) evaluation that the AS method is effective in the BD and BMSN algorithms, especially, when the number of user antennas with a low bit rate (i.e., low signal-to-noise power ratio) is increased. Moreover, this paper evaluates the achievable bit rate and throughput including an actual channel state information feedback based on IEEE802.11ac standard. Although the number of equivalent receive antenna is reduced to only one by the AS method when the number of antennas at the UT is two, it is shown that the throughputs by BD and BMSN with the AS method (BD-AS and BMSN-AS) are higher than those by the conventional BD and BMSN algorithms. key words: multiuser MIMO, block beamforming, user antenna selection, achievable bit rate, throughput

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…However, the additional method in [34] is used as the measure on the antenna selection in [32]. Consequently, the AS method realizes the simpler antenna selection than the method in [32].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of User Antenna Selection on Block Beamforming Algorithms for Suppressing Inter-User Interference in Multiuser MIMO System

Kikuma

Nishimori

Hiraguri

2018

IEICE Trans. Commun.

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“…Authors have concluded that the application of antenna selection schemes improves channel capacity while reducing complexity and cost of the systems. M. Naeem and D.C. Lee [15] have presented an optimised joint user scheduling and receive antenna selection algorithm based on Binary Particle Swarm Optimization (BPSO) approach to improve the performance of MU-MIMO system.W. Ni and X. Dong have considered case of MIMO downlink scenario and presented hybrid block diagonalization scheme to improve the capacity performance of conventional BD scheme.…”

Section: Related Workmentioning

confidence: 99%

Optimal Block Diagonalization precoding scheme for MU-MIMO Downlink channel Using Particle Swarm Optimization

Saxena¹,

Singh²

2018

IJET

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As wireless communication turns out to be more common, the interest for higher rates of data transfer and continuous availability is expanding. Future wireless systems are provisioned to be very heterogeneous and interconnected. Higher data rates and Quality of Service (Qos) are two major expectations from any wireless technology. Fading is the main phenomenon which restricts the realization of Qos demand and higher data rates in wireless technologies. Fading is caused by obstacles in signal path which degrades the received signal’s quality. To mitigate the impact of fading on communication system the application of precoding techniques can be used. In this regard, this paper presents optimization of Block-Diagonalization (BD) based linear precoding scheme for multi-user multiple-input multiple output (MU-MIMO) systems. Simulation environment consists of a MIMO downlink scenario where a single base station (BS) with antennas transmits to K receivers each with antenna. The application of Particle Swarm Optimization (PSO) is used to find the optimal number of received antennas so as to reduce system complexity while maintaining Bit Error Rate (BER) performance of the system. MATLAB based simulation scenario is presented and evaluated over Rayleigh fading environment. Simulation results validate that the performance of Block– Diagonalization scheme can be improved up to 5dB with the application of Particle Swarm Optimization technique.

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Simple Block-Diagonalization Based Suboptimal Method for MIMO Multiuser Downlink Transmission

Taniguchi

Karasawa

Nakajima

2011

Communications in Computer and Information Science

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Performance of multiuser MIMO system employing block diagonalization with antenna selection at mobile stations

Cited by 6 publications

References 14 publications

Effect of User Antenna Selection on Block Beamforming Algorithms for Suppressing Inter-User Interference in Multiuser MIMO System

Effect of User Antenna Selection on Block Beamforming Algorithms for Suppressing Inter-User Interference in Multiuser MIMO System

Optimal Block Diagonalization precoding scheme for MU-MIMO Downlink channel Using Particle Swarm Optimization

Simple Block-Diagonalization Based Suboptimal Method for MIMO Multiuser Downlink Transmission

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