Implicit Pilots for an Efficient Channel Estimation in Simplified Massive MIMO Schemes with Precoding

Silva, Mário Marques da; Dinis, Rui; Guerreiro, João

doi:10.1155/2019/5051963

Cited by 7 publications

(7 citation statements)

References 20 publications

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“…Link performance results, namely, block error rate (BLER), are used as input by the system level simulator. The system is illustrated in Figure 2, where the C-RAN is comprised of 19 The system level block diagram can be found in references [36,37]. This simulator is based on the one described in [37].…”

Section: Numerical Resultsmentioning

confidence: 99%

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

et al. 2020

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The design of multiple input multiple output (MIMO) schemes capable of achieving both high spectral and energy efficiency constitutes a challenge for next-generation wireless networks. MIMO schemes based on generalized spatial modulations (GSM) have been widely considered as a powerful technique to achieve that purpose. In this paper, a multi-user (MU) GSM MIMO system is proposed, which relies on the transmission of precoded symbols from a base station to multiple receivers. The precoder’s design is focused on the removal of the interference between users and allows the application of single-user GSM detection at the receivers, which is accomplished using a low-complexity iterative algorithm. Link level and system level simulations of a cloud radio access network (C-RAN) comprising several radio remote units (RRUs) were run in order to evaluate the performance of the proposed solution. Simulation results show that the proposed GSM MU-MIMO approach can exploit efficiently a large number of antennas deployed at the transmitter. Moreover, it can also provide large gains when compared to conventional MU-MIMO schemes with identical spectral efficiencies. In fact, regarding the simulated C-RAN scenario with perfect channel estimation, system level results showed potential gains of up to 155% and 139% in throughput and coverage, respectively, compared to traditional cellular networks. The introduction of imperfect channel estimation reduces the throughput gain to 125%.

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Section: Numerical Resultsmentioning

confidence: 99%

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

et al. 2020

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“…Finally, following step 3, the channel estimates obtained from the pilots ( H P k ) and from the data aided ( H D k ), can be combined to provide the normalized channel estimates with minimum error variance [14], as defined by…”

Section: Channel Estimation With Conventional Pilotsmentioning

confidence: 99%

“…This requires an accurate channel estimate by the receiver. Channel estimation can be performed making use of pilots multiplexed with data [14]. Nevertheless, this means that a part of the spectrum is dedicated to such estimate, which degrades the efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE

Silva

Dinis

Guerreiro

2020

Telecom

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5G Communications will support millimeter waves (mm-Wave), alongside the conventional centimeter waves, which will enable much higher throughputs and facilitate the employment of hundreds or thousands of antenna elements, commonly referred to as massive Multiple Input–Multiple Output (MIMO) systems. This article proposes and studies an efficient low complexity receiver that jointly performs channel estimation based on superimposed pilots, and data detection, optimized for massive MIMO (m-MIMO). Superimposed pilots suppress the overheads associated with channel estimation based on conventional pilot symbols, which tends to be more demanding in the case of m-MIMO, leading to a reduction in spectral efficiency. On the other hand, MIMO systems tend to be associated with an increase of complexity and increase of signal processing, with an exponential increase with the number of transmit and receive antennas. A reduction of complexity is obtained with the use of the two proposed algorithms. These algorithms reduce the complexity but present the disadvantage that they generate a certain level of interference. In this article, we consider an iterative receiver that performs the channel estimation using superimposed pilots and data detection, while mitigating the interference associated with the proposed algorithms, leading to a performance very close to that obtained with conventional pilots, but without the corresponding loss in the spectral efficiency.

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“…For example, autonomous vehicles require communications that are highly reliable and almost real-time, which are supported by URLLC. On The standardization process of 5G was carried out in two phases: the first phase focused on the improvement of broadband wireless cellular services (eMBB group of use case) and was defined in release 15 of third-generation partnership project (3GPP), completed in 2018, employing still part of the LTE infrastructure; the second phase, which ended in 2020, is defined in 3GPP release 16 and deals with the other two groups of use cases (URLLC and mMTC) and with the implementation of a completely new air interface, entitled 5G New Radio (NR), as well as with network slicing. Finally, 3GPP release 17 is due in 2022 and comprises different enhancements to 5G, such as improvement in URLLC, network slicing, device densification, improved capacity, etc.…”

Section: Introductionmentioning

confidence: 99%

Power-Ordered NOMA with Massive MIMO for 5G Systems

Silva

Dinis

2021

Applied Sciences

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The aim of this article is to study the conventional and cooperative power-order Non-Orthogonal Multiple Access (NOMA) using the Single Carrier with Frequency Domain Equalization (SC-FDE) block transmission technique, associated with massive Multiple-Input Multiple-Output (MIMO), evidencing its added value in terms of spectral efficiency of such combined scheme. The new services provided by Fifth Generation of Cellular Communications (5G) are supported by new techniques, such as millimeter waves (mm-wave), alongside the conventional centimeter waves and by massive MIMO (m-MIMO) technology. NOMA is expected to be incorporated in future releases of 5G, as it tends to achieve a capacity gain, highly required for the massive number of Internet of things (IoT) devices, namely to support an efficient reuse of limited spectrum. This article shows that the combination of conventional and cooperative NOMA with m-MIMO and SC-FDE, tends to achieve capacity gains, while the performance only suffers a moderate degradation, being an acceptable alternative for future evolutions of 5G. Moreover, it is shown that Cooperative NOMA tends to outperform Conventional NOMA. Moreover, this article shows that the Maximum Ratio Combiner (MRC) receiver is very well fitted to be combined with NOMA and m-MIMO, as it achieves a good performance while reducing the receiver complexity.

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Implicit Pilots for an Efficient Channel Estimation in Simplified Massive MIMO Schemes with Precoding

Cited by 7 publications

References 20 publications

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

A Low Complexity Channel Estimation and Detection for Massive MIMO Using SC-FDE

Power-Ordered NOMA with Massive MIMO for 5G Systems

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