Antenna grouping techniques for MIMO beamforming systems

Kim, Kyungchul; Lee, Jung Woo

doi:10.1109/acssc.2008.5074432

Cited by 4 publications

(9 citation statements)

References 8 publications

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“…As can be observed from Figure 4, the proposed mode selection also performs better than the others in a correlated channel although the relative performance among beamforming, antenna, grouping and eigenmode transmission may change. As shown in [9], algorithm A2 is the best criterion for antenna grouping. But it is complex to use in practical systems especially with higher-order modulation.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…This antenna grouping algorithm can be extended to any MIMO system where N t is an integer multiple of N r . The BER performance of this algorithm is compared to other criteria in [9], and it is very close to others.…”

Section: Effective Channel Capacity (Algorithm A4)mentioning

confidence: 99%

“…We also introduced some antenna grouping criteria [9]. When N t is larger than the N r , N t transmit antennas can be partitioned into N r groups.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive selection of antenna grouping and beamforming for MIMO systems

Kim

Lee

2011

J Wireless Com Network

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Antenna grouping algorithms are hybrids of transmit beamforming and spatial multiplexing. With antenna grouping, we can achieve combining gain through transmit beamforming, and high spectral efficiency through spatial multiplexing. In an independent identically distributed channel, the antenna grouping method has better bit error rate (BER) performance than the beamforming method. However, if the channel is correlated, then the BER performance of antenna grouping degrades. In that case, it is better to use beamforming instead of antenna grouping. In this article, we investigate the mode selection algorithms which select between the antenna grouping and the beamforming modes. By selecting a suitable mode for a given channel, we can achieve more robustness of the system performance. We introduce several mode selection criteria as well as a low complexity criterion which is derived from a low complexity antenna grouping algorithm. Simulation results show that the proposed mode selection algorithm performs better than the antenna grouping and the beamforming modes in various channel conditions.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Effective Channel Capacity (Algorithm A4)mentioning

confidence: 99%

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Adaptive selection of antenna grouping and beamforming for MIMO systems

Kim

Lee

2011

J Wireless Com Network

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“…In N t ×N r antenna grouping, there are a few cases dividing N t into N r groups and we introduced several grouping criteria in [10].…”

Section: Reviews Of Antenna Groupingmentioning

confidence: 99%

“…We also introduced some antenna grouping criteria [10]. When N t is larger than the N r , N t transmit antennas can be partitioned into N r groups.…”

Section: Introductionmentioning

confidence: 99%

Mode selection between antenna grouping and beamforming for MIMO communication systems

Kim

Lee

2009

2009 43rd Annual Conference on Information Sciences and Systems

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Antenna grouping algorithms are hybrids of beamforming and spatial multiplexing. With antenna grouping, we can achieve diversity gain through beamforming, and high spectral efficiency through spatial multiplexing simultaneously. In an IID channel, at a fixed transmission rate, we can get better BER performance by antenna grouping compared with beamforming. But if the channel is ill-conditioned or there is some correlation between transmit or receive antennas, the BER performance of antenna grouping is significantly degraded. In that case, beamforming is better than antenna grouping algorithm. We introduced existing antenna grouping algorithms and proposed our new simple antenna grouping algorithms in our previous paper. In this paper, we investigate mode selection algorithms which select antenna grouping or beamforming mode. By selecting a suitable mode for instantaneous channel, we can prevent fluctuation of BER performance caused by channel variation and antenna correlation. We introduce some existing mode selection criteria and also propose a new criterion which is derived from the simple antenna grouping algorithm in the previous paper. This proposed mode selection criterion requires little additional calculations. By comparing with existing mode selection criteria, we verify the performance of our criterion.

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Antenna Grouping-Based Blind Artificial Noise for TDD Secure Transmission

Son

Park

2021

IEEE Access

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The artificial noise (AN-) aided techniques have been considered as promising candidates to enhance the physical layer security. However, the effect of AN on an eavesdropper (Eve) can be severely degraded as the number of antennas at Eve increases. To resolve this problem, we propose an antenna grouping-based blind artificial noise (AG-BAN) to prevent Eve from being aware of the existence of AN in multiple-input, single-output, and multi-antenna eavesdropper (MISOME) and multiple-input, multipleoutput, and multi-antenna eavesdropper (MIMOME) channels. In the proposed AG-BAN, antennas at a legitimate transmitter (Alice) are classified into two antenna groups, which are used to transmit the data and AN, respectively. In the antenna group for transmitting the AN, the null-space-based AN scheme is employed, which makes the AN be nullified at a legitimate receiver (Bob). Any reference signals are not transmitted from the antenna group assigned to transmit the AN. As a result, Eve cannot perceive the AN, which makes the AG-BAN be effective even if there is a sufficient number of antennas at Eve. In the proposed AG-BAN, the estimated secrecy capacity at Alice is used for the antenna grouping criterion, which is derived based on the Eve's channel statistics without the instantaneous channel information between Alice and Eve. Furthermore, to reduce the computational complexity of the exhausted search based optimal antenna grouping, the proposed AG-BAN employs one-by-one antenna search procedures. The simulation and numerical results show that the proposed AG-BAN scheme effectively improves the secrecy capacity compared to the conventional AN schemes and achieves the near-identical secrecy capacity compared to the exhausted search based optimal AG-BAN scheme.

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Antenna grouping techniques for MIMO beamforming systems

Cited by 4 publications

References 8 publications

Adaptive selection of antenna grouping and beamforming for MIMO systems

Adaptive selection of antenna grouping and beamforming for MIMO systems

Mode selection between antenna grouping and beamforming for MIMO communication systems

Antenna Grouping-Based Blind Artificial Noise for TDD Secure Transmission

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