Virtual pilot signal for massive MIMO-OFDM systems

Park, Sunho; Choi, Jun Won; Seol, Ji-Yun; Shim, Byonghyo

doi:10.1109/ita.2014.6804285

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Moreover, since the number of pilot symbol is proportionally depending on the number of transmit antennas, the total transmission rate of MIMO system would be degraded. Therefore, an iterative detection using VPS is necessary [6]. In the VPS method, the channel response is identified by using the received data signals.…”

Section: Iterative Channel Estimation Based On Vpsmentioning

confidence: 99%

“…Therefore the total transmission rate of massive MIMO would be degraded with increasing the number of pilots symbols. To solve these problems, the channel estimation method based on virtual pilot signal (VPS) has been proposed [6,7]. However, since the conventional VPS based method can identify the channel state information (CSI) with an iterative detection, the complexity is still considerable work.…”

Section: Introductionmentioning

confidence: 99%

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Channel compensation with virtual pilot signal and time-frequency interferometry for MIMO-OFDM

Okamura

Ahn

2018

NOLTA

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MIMO has been recognized as a promising way to provide high speed data transmission. However, since the number of pilot symbols is proportionally depending on the number of transmit antenna, the total transmission rate of MIMO would be degraded. To solve this problem, the channel estimation method using virtual pilot signal (VPS) with a few pilot signals has been proposed. However, since the conventional method identifies the channel state information (CSI) iteratively, the complexity is a seriously considerable work. Previously, we have proposed the time-frequency interferometry (TFI)-OFDM to achieve a superior BER performance with a small number of pilot symbols without any iterative channel estimation. However, the TFI method is still needed a large number of pilot signals. To mitigate the problem of the TFI method, in this paper, we propose a novel channel compensation method based on VPS and TFI for MIMO without increasing the system complexity. The proposed method has a low complexity with improving BER performance to compare with the conventional method. From the simulation results, the proposed method can achieve the improved BER performance of 1.5dB gain compared with the conventional method for 4 × 4 and 8 × 8 MIMO systems.

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Section: Iterative Channel Estimation Based On Vpsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Channel compensation with virtual pilot signal and time-frequency interferometry for MIMO-OFDM

Okamura

Ahn

2018

NOLTA

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“…The main benefit of this technology can be realized only when the quality of estimated channel is ensured at both transmitter and receiver, by using a large number of antennas into the wireless transceiver. Sunho Park et al [17] present an alternative channel estimation technique dealing with the pilot shortage in the massive MIMO systems. It is shown that the proposed method achieves substantial performance gain over conventional approaches employing pilot signals exclusively.…”

Section: Related Workmentioning

confidence: 99%

Achieving QoS in Virtual MIMO systems: a satisfaction equilibrium analysis

Bennani

Sabir

Kobbane

et al. 2016

J Wireless Com Network

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This paper presents a game theoretic framework to analyze a cellular-WLAN heterogeneous network from a virtual multiple-input multiple-output (VMIMO) perspective. Namely, we restrict to the uplink case and consider a non-cooperative game where each user seeks to meet some quality of service (QoS). Moreover, mobile users are allowed to re-inject, through their WLAN interfaces, a part of their throughput in the induced game. Thus, the interaction among users defines a distributed VMIMO with a possibly throughput exchange. This mechanism will help all users to meet their respective QoS expressed by the perceived average throughput. The average throughput is considered to be the utility function used in this framework. Now, each mobile user experiences a certain throughput composed of two parts: (1) the throughput received from cellular subsystem and (2) the throughput received from WLAN subsystem. Naturally, we use the concept of satisfaction equilibrium to predict the behavior of the network. Indeed, we provided a sufficient condition for the existence of such an equilibrium. Next, we prove the uniqueness of the equilibrium and compute it explicitly. Afterward, we propose a fully distributed algorithm inspired from the well-known Banach-Picard learning algorithm. Our scheme has many good features facilitating its implementation and usability. Indeed, it accurately converges to the equilibrium (if exists), it is very fast, and it requires no external information. Simulation results validate the algorithm and show its robustness and illustrate numerically the proposed learning scheme for quality-of-service management in such a heterogeneous network.

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