Historical PMI Based Multi-User Scheduling for FDD Massive MIMO Systems

Han, Bin; Zhao, Song; Yang, Bei; Zhang, Haijun; Chen, Peng; Yang, Fengyi

doi:10.1109/vtcspring.2016.7504272

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…In achieving low latency, short orthogonal frequency division modulation (OFDM) symbol length and wider bandwidth are retained based on the OFDM-based waveform [121]. Some of the related previous works proposed methods such as channel vector correlation coefficient [122][123][124][125], real-time sum capacity [126][127][128], an approximation of polynomial [129] and asymptotic capacity [130].…”

Section: Cross-layermentioning

confidence: 99%

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

et al. 2019

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Network latency will be a critical performance metric for the Fifth Generation (5G) networks expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple-input multiple-output (MU-MIMO) technology is a key enabler for the 5G massive connectivity criterion, especially from the massive densification perspective. Naturally, it appears that 5G MU-MIMO will face a daunting task to achieve an end-to-end 1 ms ultra-low latency budget if traditional network set-ups criteria are strictly adhered to. Moreover, 5G latency will have added dimensions of scalability and flexibility compared to prior existing deployed technologies. The scalability dimension caters for meeting rapid demand as new applications evolve. While flexibility complements the scalability dimension by investigating novel non-stacked protocol architecture. The goal of this review paper is to deploy ultra-low latency reduction framework for 5G communications considering flexibility and scalability. The Four (4) C framework consisting of cost, complexity, cross-layer and computing is hereby analyzed and discussed. The Four (4) C framework discusses several emerging new technologies of software defined network (SDN), network function virtualization (NFV) and fog networking. This review paper will contribute significantly towards the future implementation of flexible and high capacity ultra-low latency 5G communications.

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Section: Cross-layermentioning

confidence: 99%

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

et al. 2019

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“…However, the amount of the feedback information from the terminals is linearly correlated with the amount of transmit antennas at the BSs. Therefore, the key issue is how to optimize the feedback mode [7].…”

Section: Introductionmentioning

confidence: 99%

Pilot Sequence Assignment for Spatially Correlated Massive MIMO Circumstances

2019

KSII TIIS

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For massive multiple-input multiple-output (MIMO) circumstances with time division duplex (TDD) protocol, pilot contamination becomes one of main system performance bottlenecks. This paper proposes an uplink pilot sequence assignment to alleviate this problem for spatially correlated massive MIMO circumstances. Firstly, a single-cell TDD massive MIMO model with multiple terminals in the cell is established. Then a spatial correlation between two channel response vectors is established by the large-scale fading variables and the angle of arrival (AOA) span with an infinite number of base station (BS) antennas. With this spatially correlated channel model, the expression for the achievable system capacity is derived. To optimize the achievable system capacity, a problem regarding uplink pilot assignment is proposed. In view of the exponential complexity of the exhaustive search approach, a pilot assignment algorithm corresponding to the distinct channel AOA intervals is proposed to approach the optimization solution. In addition, simulation results prove that the main pilot assignment algorithm in this paper can obtain a noticeable performance gain with limited BS antennas.

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“…For this reason, the scheme proposed in the Case Study 1 provides capacity improvement using DAN over a single antenna OFDMA system. Massive MIMO is also widely perceived as a leading candidate technology for 5G [12]. The high number of BS antennas requires a large number of PAs, one per antenna.…”

Section: Introductionmentioning

confidence: 99%

Sustainable green networking: exploiting degrees of freedom towards energy-efficient 5G systems

Yao

Sohul

et al. 2017

Wireless Netw

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The carbon footprint concern in the development and deployment of 5G new radio systems has drawn the attention to several stakeholders. In this article, we analyze the critical power consuming component of all candidate 5G system architectures-the power amplifier (PA)-and propose PA-centric resource management solutions for green 5G communications. We discuss the impact of ongoing trends in cellular communications on sustainable green networking and analyze two communications architectures that allow exploiting the extra degrees-of-freedom (DoF) from multi-antenna and massive antenna deployments: small cells/distributed antenna network and massive MIMO. For small cell systems with a moderate number of antennas, we propose a peak to average power ratio-aware resource allocation scheme for joint orthogonal frequency and space division multiple access. For massive MIMO systems, we develop a highly parallel recurrent neural network for energy-efficient precoding. Simulation results for representative 5G deployment scenarios demonstrate an energy efficiency improvement of one order of magnitude or higher with respect to current state-of-the-art solutions.

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Historical PMI Based Multi-User Scheduling for FDD Massive MIMO Systems

Cited by 11 publications

References 6 publications

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

Pilot Sequence Assignment for Spatially Correlated Massive MIMO Circumstances

Sustainable green networking: exploiting degrees of freedom towards energy-efficient 5G systems

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