Efficient Transmit Antenna Subset Selection for Multiuser Space–Time Line Code Systems

Kim, Sangchoon

doi:10.3390/s21082690

Cited by 7 publications

(8 citation statements)

References 26 publications

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Section: Results and Analysismentioning

confidence: 99%

“…Our proposed algorithm is also compared with [21,28,29], which are among the simplest and following similar approaches to the best of our knowledge. The complexity order of each is [21] our proposed technique [28,29] and random selection according to ( 27) and (28). We also found that the proposed algorithm is more energy-efficient than random at the cost of some complexity, which is less than that of [21].…”

Section: Results and Analysismentioning

confidence: 99%

“…The number of antennas to be chosen is determined by adjusting an appropriate amount of transmit power to be radiated during the selection process. The number of antenna elements to be selected accounts for the system complexity [27][28][29].…”

Section: Antenna Selection and Power Model 41 Antenna Selectionmentioning

confidence: 99%

“…The table states the combinational permutation of the algorithms, which we compare with that of [21], which accounts for n( M M o ), where n = M 2 + 2M o2 + M o and and are the deducted elements due to selection and additional iterations due to incorporation of low resolution DAC, respectively. According to [28,29], the computational complexity due to the selection process is shown in ( 27) and ( 28), respectively.…”

Section: Antenna Selection and Power Model 41 Antenna Selectionmentioning

confidence: 99%

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Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection

Aredo

Negash

Marye

et al. 2022

Sensors

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An increase in the number of transmit antennas (M) poses an equivalent rise in the number of Radio Frequency (RF) chains associated with each antenna element, particularly in digital beamforming. The chain exhibits a substantial amount of power consumption accordingly. Hence, to alleviate such problems, one of the potential solutions is to reduce the number of RFs or to minimize their power consumption. In this paper, low-resolution Digital to Analogue Conversion (DAC) and transmit antenna selection at the downlink are evaluated to favour reducing the total power consumption and achieving energy efficiency in mMIMO with reasonable complexity. Antenna selection and low-resolution DAC techniques are proposed to leverage massive MIMO systems in free space and Close In (CI) path-loss models. The simulation results show that the power consumption decreases with antenna selection and low-resolution DAC. Then, the system achieves more energy efficiency than without low-resolution of DAC and full array utilization.

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Section: Results and Analysismentioning

confidence: 99%

Section: Results and Analysismentioning

confidence: 99%

Section: Antenna Selection and Power Model 41 Antenna Selectionmentioning

confidence: 99%

Section: Antenna Selection and Power Model 41 Antenna Selectionmentioning

confidence: 99%

See 2 more Smart Citations

Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection

Aredo

Negash

Marye

et al. 2022

Sensors

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show abstract

“…As summarized in Refs. [ 18 , 19 , 20 ], its applications to various MIMO communication systems have been actively investigated. In particular, we have proposed an STLC-applied NOMA (STLC-NOMA) system for uplink IoT networks while raising some issues about the conventional uplink NOMA systems [ 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Expectation-Maximization-Based Blind Receiver for Low-Complexity Uplink STLC-NOMA Systems

Lee

Jung

2022

Sensors

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In this paper, we revisit a two-user space-time line coded uplink non-orthogonal multiple access (STLC-NOMA) system for Internet-of-things (IoT) networks and propose a novel low-complexity STLC-NOMA system. The basic idea is that both IoT devices (stations: STAs) employ amplitude-shift keying (ASK) modulators and align their modulated symbols to in-phase and quadrature axes, respectively, before the STLC encoding. The phase distortion caused by wireless channels becomes compensated at the receiver side with the STLC, and thus each STA’s signals are still aligned on their axes at the access point (AP) in the proposed uplink STLC-NOMA system. Then, the AP can decode the signals transmitted from STAs via a single-user maximum-likelihood (ML) detector with low-complexity, while the conventional uplink STLC-NOMA system exploits a multi-user joint ML detector with relatively high-complexity. We mathematically analyze the exact BER performance of the proposed uplink STLC-NOMA system. Furthermore, we propose a novel expectation-maximization (EM)-based blind energy estimation (BEE) algorithm to jointly estimate both transmit power and effective channel gain of each STA without the help of pilot signals at the AP. Somewhat interestingly, the proposed BEE algorithm works well even in short-packet transmission scenarios. It is worth noting that the proposed uplink STLC-NOMA architecture outperforms the conventional STLC-NOMA technique in terms of bit-error-rate (BER), especially with high-order modulation schemes, even though it requires lower computation complexity than the conventional technique at the receiver.

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Blind symbol and carrier synchronization with carrier frequency offset estimation for space–time line coded systems

Joung

Jeong

2023

ICT Express

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Efficient Transmit Antenna Subset Selection for Multiuser Space–Time Line Code Systems

Abstract: We consider the problem of the efficient transmit antenna subset (TAS) selection for maximizing the signal-to-interference-plus-noise ratio (SINR) of multiuser space–time line code (MU–STLC) systems [...]

Cited by 7 publications

References 26 publications

Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection

Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection

A Novel Expectation-Maximization-Based Blind Receiver for Low-Complexity Uplink STLC-NOMA Systems

Blind symbol and carrier synchronization with carrier frequency offset estimation for space–time line coded systems

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