Full diversity blind space-time block codes

Zhang, Jiankang

doi:10.1109/chinacom.2009.5339740

Cited by 2 publications

(4 citation statements)

References 94 publications

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“…• Our design is asymptotically optimal when the number of BS antennas goes to infinity while keeping the transmitted power fixed. This is in contrast to most previous space-time coding designs which considered the asymptotic regime with the signal-to-noise ratio (SNR) going to infinity [30]- [32].…”

Section: B Unique Identification Of the Transmitted Signal Matrixmentioning

confidence: 82%

“…Note that our design connects to the conventional space-time code design. Up to now, most of the existing space-time code designs, such as [14], [30]- [32], considered point-to-point MIMO systems, where all the transmitting antennas are connected to the same transmitter, and hence the transmitted information-carrying signals are accessible by all the antennas. However, in our considered UF-MUSTM based nn-mMIMO system, the signals transmitted from different users are not allowed to fully collaborate, which dramatically limits the codebook design.…”

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confidence: 99%

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Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G

Chen,

Dong,

Zhang

et al. 2020

Preprint

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This paper is to develop and optimize a non-orthogonal and noncoherent massive multiple-input multiple-output (MIMO) framework towards enabling scalable ultra-reliable low-latency communications (sURLLC) in wireless systems beyond 5G. In this framework, the huge diversity gain associated with the large-scale antenna array in massive MIMO systems is leveraged to ensure ultrahigh reliability. To reduce the overhead and latency induced by the channel estimation process, we advocate the noncoherent communication technique which does not need the knowledge of instantaneous channel state information but only relies on the large-scale fading coefficients for information decoding. To boost the scalability of noncoherent massive MIMO systems, we enable the non-orthogonal channel access of multiple users by devising a new differential modulation scheme to assure that each transmitted signal matrix can be uniquely determined in the noise-free case and be reliably estimated in noisy cases when the antenna array size is scaled up. The key idea is to make the transmitted signals from multiple users be superimposed properly over the air such that when the sum-signal is correctly detected, the signal sent by each individual user can be uniquely determined. To further enhance the average error performance when the array antenna number is large, we propose a max-min Kullback-Leibler (KL) divergence-based design by jointly optimizing the transmitted powers of all users and the sub-constellation assignment among them. Simulation results show that the proposed design significantly outperforms the existing Part of the paper has been presented at 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) [1].

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Section: B Unique Identification Of the Transmitted Signal Matrixmentioning

confidence: 82%

mentioning

confidence: 99%

Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G

Chen,

Dong,

Zhang

et al. 2020

Preprint

Self Cite

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“…For example, it is shown in [4] that the channel in OFDM systems can be uniquely identified without any ambiguity by using 3-PSK and 4-PSK constellations on adjacent subcarriers. In space-time block coding systems, [5] and [6] show that if a pair of PSK constellations is used and the orders of these two constellations are coprime, the channel can be uniquely identified. It is further shown in [7] that if 3-PSK and 16-QAM are used in different subcarriers, the channel in OFDM systems can be uniquely identified.…”

Section: Introductionmentioning

confidence: 99%

“…are all legitimate for(6). Since c can have at most Q possible values, we have obtained all the solutions.…”

mentioning

confidence: 97%

Blind identifiability of general constellations

Wang

Liu

et al. 2013

2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)

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Identifiability is a fundamental issue in blind signal processing. It is well known that there are two types of inherent ambiguities: the scalar and permutation ambiguities. However, this is obtained under the condition that no a priori information of input signals is assumed. We show that if the information of source constellation is exploited, with a general constellation, there is an inherent discrete phase ambiguity, which is uniformly spaced on the unit circle. We also illustrate our identifiability results to blind channel estimation in orthogonal frequency division multiplexing (OFDM) systems.

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Full diversity blind space-time block codes

Cited by 2 publications

References 94 publications

Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G

Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G

Blind identifiability of general constellations

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