Efficient Channel Estimation for Reconfigurable MIMO Antennas: Training Techniques and Performance Analysis

Bahçeci, İsrafil; Hasan, Mehedi; Duman, Tolga M.; Cetiner, Bedri A.

doi:10.1109/twc.2016.2626291

Cited by 25 publications

(16 citation statements)

References 32 publications

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“…1 illustrates the MR-MIMO system. Considering pattern reconfigurable antennas at both the transmitter and the receiver, the element-wise pattern reconfigurable MIMO channel model is represented as [24] H…”

Section: B Channel Model For Mr-mimomentioning

confidence: 99%

“…On one hand, the mode selection mechanism brings unacceptable channel estimation overhead. The channel prediction based on the correlation among the pattern modes [24] and the effective mode selection scheme based on reinforcement learning (RL) [25]- [29] are the major solutions to this issue currently. On the other hand, the physical mechanism of how the radiation pattern of MR-MIMO affects the channel has not been revealed, and it is not clear how to design the optimal radiation pattern for capacity maximization in MR-MIMO systems, which is the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

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Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Wang¹,

Li²,

Liu³

et al. 2022

Preprint

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Multi-functional and reconfigurable multiple-input multiple-output (MR-MIMO) can provide performance gains over traditional MIMO by introducing additional degrees of freedom. In this paper, we focus on the capacity maximization pattern design for MR-MIMO systems. Firstly, we introduce the matrix representation of MR-MIMO, based on which a pattern design problem is formulated. To further reveal the effect of the radiation pattern on the wireless channel, we consider pattern design for both the single-pattern case where the optimized radiation pattern is the same for all the antenna elements, and the multi-pattern case where different antenna elements can adopt different radiation patterns. For the single-pattern case, we show that the pattern design is equivalent to a redistribution of power among all scattering paths, and an eigenvalue optimization based solution is obtained. For the multi-pattern case, we propose a sequential optimization framework with manifold optimization and eigenvalue decomposition to obtain near-optimal solutions. Numerical results validate the superiority of MR-MIMO systems over traditional MIMO in terms of capacity, and also show the effectiveness of the proposed solutions.

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Section: B Channel Model For Mr-mimomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Wang¹,

Li²,

Liu³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Assuming that the receiver configuration is fixed, we denote the channel impulse response from MRA-m to MRA-n as h n,m (μ) where μ emphasizes the dependency of the channel realization on the transmit MRA mode. Using the beamspace representation in a doubledirectional MIMO channel model [23], [24], one can show that the impact of transmit antenna pattern can be decoupled from all other propagation related terms as follows [25]…”

Section: A Mimo Channel With Mrasmentioning

confidence: 99%

“…We consider two different transmission scenarios: (i) subband transmission with frequency interleaving, and (ii) wholeband transmission. For the former case, assuming a subcarrier shuffling using a uniform interleaver, the subcarriers assigned to the recipient become almost independent as long as the number of subcarriers in the subband is at most K. Hence, assuming that such an interleaving is possible, the joint probability density function can be expressed as the product of individual probability density functions, and the PEP upper bound averaged over the channel statistics can be obtained as, (25) where Υ μ/μ,k is the covariance matrix of the channel difference vector at the subcarrier k. For the whole-band transmission, a similar PEP analysis results in…”

Section: Mosk/mom For Wideband Transmissionmentioning

confidence: 99%

“…In this work it is assumed that the scatterers are quasistatic, that is, they remain the same over a relatively longer period of time compared to the symbol duration, while the temporal variations due to user velocity are more pronounced. We note that, for a quasistatic propagation environment, the covariance matrices do not vary significantly over time [24] and thus, one will incur low estimation overhead (see, for example, [25]).…”

Section: A Pep Analysis and Mra Design For Moskmentioning

confidence: 99%

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Mode Shift Keying for Reconfigurable MIMO Antennas: Performance Analysis and Antenna Design

Hasan

Bahçeci

Towfiq³

et al. 2019

IEEE Trans. Veh. Technol.

Self Cite

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Space-shift-keying (SSK) and spatial modulation (SM) enable multiple antenna transmission systems to convey information on antenna indices. While SSK/SM helps reduce the number of radio frequency (RF) chains, large numbers of antennas and low spatial correlations are required to achieve high data rates. This work investigates the use and design of multifunctional reconfigurable antennas (MRAs) for SSK/SM based transmission where a single-element MRA generates large numbers of modes. To enhance legacy SSK/SM performance while reducing RF hardware complexity, we propose single-and multi-carrier antenna mode-shift keying (MoSK) and mode modulation (MoM) schemes facilitated by MRAs. Based on an error probability analysis, we determine criteria for MRA design and mode set selection suitable for MoSK/MoM. We also develop two MRA designs and investigate their performances over Rayleigh fading channels. We argue that by creating MRA modes with low pattern correlations, channel correlations can be reduced to improve the detection performance. Extensive simulations demonstrate that MoSK/MoM performance exceeds that of SSK/SM along with significant complexity reduction. For instance, a single-carrier MoSK/MoM using a single MRA with 8 modes achieves about 2 dB gain compared to legacy SSK/SM requiring 8 antennas, and by multi-carrier MoSK/MoM using 4 subcarriers, an MRA with 32 modes can attain an error rate performance comparable to this single-carrier system.

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A new 5G radio evolution towards 5G-Advanced

Pang

Wang

Tang

et al. 2022

Sci. China Inf. Sci.

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The evolution of the fifth-generation (5G) new radio (NR) has progressed swiftly since the third generation partnership project (3GPP) standardized the first NR version (Release 15) in mid-2018. Nowadays, the world’s leading carriers are competing to provide various commercial services over 5G networks. Looking ahead to 2025 and beyond, it is expected that over 6.5 million 5G base stations will be installed to offer services to over 58% of the world’s population via over 100 billion 5G connections. Following the rapid development of 5G, an increasing number of commercialization use cases will drive the 5G network to continuously improve performance and expand capabilities. Hence, it is the right time to consider a well-defined framework and standardization for 5G NR evolution (5G-Advanced) to support commercialization between 2025 and 2030. First, this study addresses the key driving forces, requirements, usage scenarios, and capabilities of 5G-Advanced; then, it highlights the main technological challenges and introduces the top 10 promising technological directions in detail. Finally, other fascinating technological directions in 5G-Advanced are shortly mentioned.

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Efficient Channel Estimation for Reconfigurable MIMO Antennas: Training Techniques and Performance Analysis

Cited by 25 publications

References 32 publications

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Mode Shift Keying for Reconfigurable MIMO Antennas: Performance Analysis and Antenna Design

A new 5G radio evolution towards 5G-Advanced

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