A novel 3D beamforming scheme for LTE-Advanced system

Cheng, Yu-Shin; Chen, Chih‐Hsuan

doi:10.1109/apnoms.2014.6996514

Cited by 14 publications

(11 citation statements)

References 6 publications

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“…Thus only one vertical subarray will be used to determine the vertical PM for simplicity [6]. Denote H k,n as the N r × N v vertical channel matrix between the receive antenna array at user n and transmit vertical subarray i at the BS on RB k. Similar to (8), the SVD of the channel matrix, H k,n , is given by…”

Section: A Pm Designmentioning

confidence: 99%

“…Many methods [5]- [8] have been proposed for designing the precoding weight vector in 3D MIMO, which can be divided into eigen-structure method and null-steering method. The former focuses on enhancing the signal power while the latter puts more effort on interference suppression.…”

Section: A Pm Designmentioning

confidence: 99%

“…When 2D antenna array as in Figure 1 is used at the BS, the 3D MIMO transmission is possible and the beamforming with 3D PM has the potential to distinguish users in both horizontal and vertical directions. One low-complexity scheme [7], [8] is to perform beamforming in the following three steps: i) perform horizontal beamforming using the horizontal subarrays; ii) perform vertical beamforming using vertical subarrays, and iii) combine the obtained two beamforming vectors together.…”

Section: A Pm Designmentioning

confidence: 99%

“…The two vectors are computed using low-dimensional CSI for each row and column antenna elements to reduce the complexity. A joint beamforming scheme has been proposed in [8], where direction-of-arrival (DOA) and eigen-structure based beamforming methods are used to design two low-dimensional vectors, respectively. In [9], two partial channels have been quantized to design the 2D codebook in the horizontal and vertical domains, respectively.…”

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confidence: 99%

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3D MIMO with rank adaptation for LTE-A downlink transmission

Wei

Fan

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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In this paper, we investigate three-dimensional (3D) multiple-input multiple-output (MIMO) techniques with dynamic rank selection for long term evolution advanced (LTE-A) downlink cellular networks. To facilitate users to transmit different numbers of data streams, we develop a new structure for designing 3D precoding matrix (PM). Then based on the designed PM, 3D MIMO transmission with rank adaptation is proposed. The performance improvement of the proposed algorithms is demonstrated by system level simulation.

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Section: A Pm Designmentioning

confidence: 99%

Section: A Pm Designmentioning

confidence: 99%

Section: A Pm Designmentioning

confidence: 99%

mentioning

confidence: 99%

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3D MIMO with rank adaptation for LTE-A downlink transmission

Wei

Fan

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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“…Unlike existing work, which uses channel models to show the benefits of antenna arrays [7], [8], and which aims at providing short time-scale beamforming algorithms [9], we concentrate, in this paper, on the mathematical description of large-scale antenna array beam patterns and provide a model that allows to examine all flexibility in antenna array design. Moreover, we connect this model with a commonly used flow level model [10], [11], which considers the mutual coupling of cells through dynamic inter-cell interference.…”

Section: Introductionmentioning

confidence: 99%

Multi-cell flow-level performance of traffic-adaptive beamforming under realistic spatial traffic conditions

Klessig

Soszka

Fettweis

2015

2015 International Symposium on Wireless Communication Systems (ISWCS)

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Upcoming 5G wireless technology will enable various new applications and is going to support a massive amount of devices per cell. In this regard, ultra-dense small cell deployments are a means to cope with the need of extremely high data rates of several tens of Gbps and with the increasing data traffic demand. However, denser deployments may lead to more severe inter-cell interference, which is strongly connected to the actual spatial distribution of the mobile traffic demand. Traffic-adaptive beamforming using phased antenna arrays can be an attractive solution for concentrating capacity at desired traffic hot spot locations while inter-cell interference is reduced. In this paper, we propose a flexible and holistic model, which describes flowlevel performance of networks, which consist of base stations equipped with phased antenna arrays, accurately and considers dynamic inter-cell interference. Moreover, we present a configurable spatial traffic model to generate data traffic maps with various statistical properties. We use these traffic maps to evaluate the performance of a traffic-adaptive beamforming algorithm proposed and compare it the performance of a stateof-the-art antenna down-tilt algorithm.

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Multiple input single output aerial base station‐assisted networks: Joint 3D beam‐forming, aerial base station assignment, 3D placement, and radio resource allocation

Azizi

Mokari

2020

Trans Emerging Tel Tech

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In this article, we propose a novel method according to which joint aerial base station (ABS) assignment, three‐dimensional placement (3DP), three‐dimensional beam‐forming (3DB), and radio resource allocation are considered for multiple input single output (MISO) ABS‐based networks with orthogonal frequency division multiple access (OFDMA) technology. We aim to maximize the instantaneous data rate subject to some practical constraints. In light of the fact that our optimization problem is mixed‐integer nonlinear programming (MINLP) with high computational complexity, we propose a low complex and practical approach. Therefore, we resort to an alternate method by which the main optimization problem decomposes into three subproblems. Then we solve the resulting subproblems via linear approximation method, matching theory, and mesh adaptive direct search (MADS) algorithm. In order to shed light on our proposed approach, we decompose the proposed scenario into some cases with fewer optimization variables and compare them with our main problem. Our proposed approach boosts the instantaneous data rate compared to the decomposed cases with fewer optimization variables. Via simulation, we study the effect of various parameters like numbers of users, ABSs, and maximum transmission powers on the network performance. Finally, we analyze the network performance for suburban and urban environments considering various number of ABSs.

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A novel 3D beamforming scheme for LTE-Advanced system

Cited by 14 publications

References 6 publications

3D MIMO with rank adaptation for LTE-A downlink transmission

3D MIMO with rank adaptation for LTE-A downlink transmission

Multi-cell flow-level performance of traffic-adaptive beamforming under realistic spatial traffic conditions

Multiple input single output aerial base station‐assisted networks: Joint 3D beam‐forming, aerial base station assignment, 3D placement, and radio resource allocation

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