Performance of link adaptation algorithms and reconfigurable antennas for MIMO-OFDM wireless systems

Sworo, George D.; Kam, Moshe; Dandekar, Kapil R.

doi:10.1109/ciss.2012.6310795

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…We note in passing that the effect of training overhead on these throughput measurements was not investigated as part of this work. 12 The distribution of modulation use in SAMC [29] Similarly, BER is calculated from the coarse approximation used in the optimization process based on the header information in each packet. Figure 11 plots the BER performances of the proposed models and the other models from [10,11].…”

Section: Performance Results and Analysismentioning

confidence: 99%

Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems

Sworo

Dandekar

Kam

2015

J Wireless Com Network

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In this work, we study and analyze the performance of physical layer algorithms for adaptive multiple input-multiple output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems that employ a new class of adaptive antenna systems known as reconfigurable antennas. These antennas are capable of adaptively modifying their radiation characteristics and thus leverage pattern diversity to affect how the transmitter and receiver perceive the wireless channel. We propose a low complexity spatial adaptive modulation and coding (AMC) algorithm that uses the advantages of pattern reconfigurable antennas in concert with link adaptation to improve MIMO-OFDM link throughput. The algorithm operates in two main stages; first, it searches for the antenna configuration that yields the highest post processing signal-to-noise ratio (ppSNR) and, then, applies AMC to improve spectral efficiency. The performance of the proposed scheme is experimentally evaluated for a 2 × 2 MIMO-OFDM wireless system in an indoor environment.

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Section: Performance Results and Analysismentioning

confidence: 99%

Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems

Sworo

Dandekar

Kam

2015

J Wireless Com Network

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“…This is in contrast to conventional non-reconfigurable arrays which depend on signal processing techniques such as antenna grouping and beamforming to achieve performance gains. Previous works in [7] and [10], propose adaptive algorithms for antenna pattern selection.…”

Section: A Related Workmentioning

confidence: 99%

“…The relevant preliminary work for the pattern reconfigurable antennas is presented in [7] - [10]. These antennas are capable of dynamically changing their electrical and radiation characteristics to suit the conditions of the wireless channel.…”

Section: A Related Workmentioning

confidence: 99%

Analyzing the benefits of pattern diversity for MIMO wireless systems

Sworo

Dandekar

Kam

2015

2015 International Conference on Computing, Networking and Communications (ICNC)

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We investigate the benefits of pattern diversity from using reconfigurable antenna arrays relative to conventional non-reconfigurable arrays that use signal processing techniques such as antenna grouping. The performance of various MIMO antenna mode selection algorithms are experimentally analyzed and benchmarked. Our performance evaluation is based on a measurement campaign employing a software-defined-radio MIMO testbed. Our findings demonstrate relative performance improvements from using pattern diversity at certain conditions.

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Performance analysis of 802.11n-based cognitive wireless system with joint rate and power adaptation

Itraj

Bombale

Patil

et al. 2020

International Journal of Electronics

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Performance of link adaptation algorithms and reconfigurable antennas for MIMO-OFDM wireless systems

Cited by 4 publications

References 15 publications

Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems

Reconfigurable antennas and link adaptation algorithms for MIMO-OFDM wireless systems

Analyzing the benefits of pattern diversity for MIMO wireless systems

Performance analysis of 802.11n-based cognitive wireless system with joint rate and power adaptation

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