Performance Analysis of Massive MIMO for Cell-Boundary Users

Lim, Yeon-Geun; Chae, Chan-Byoung; Caire, Giuseppe

doi:10.1109/twc.2015.2460751

Cited by 172 publications

(132 citation statements)

References 23 publications

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“…In addition, we make an assumption that the accurate and instantaneous CSI is available. In practical setups, the CSI is efficiently derived by channel estimation [31] and shared with the users using limited feedback techniques such as given in [32]. The ZF precoding scheme is able to completely eliminate interference among users, which achieves the performance of the nonlinear precoding schemes, for example, dirty paper coding (DPC) [33].…”

Section: Hybrid Massive Mimo Systemmentioning

confidence: 99%

Low Cost and High Efficiency Hybrid Architecture Massive MIMO Systems Based on DFT Processing

Tan

Carvalho

et al. 2018

Wireless Communications and Mobile Computing

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Low cost and high efficiency, defined as energy efficiency (EE) and spectral efficiency (SE), have raised more and more attention in the fifth generation (5G) communication systems due to steadily rising hardware cost, energy consumption, and mobile traffic. This paper studies the hybrid architecture of multiuser massive MIMO systems, where the digital domain utilizes the zero-forcing (ZF) precoding scheme and the analog domain uses discrete Fourier transform (DFT) processing that significantly reduces hardware cost and energy consumption. We derive analytical expressions on the total achievable SE and EE, as well as offering insight into some engineering parameters in the system performance. Our aim is to achieve low cost and high efficiency massive MIMO system, with constraints on the overall transmit power, the number of users, and the number of radio frequency (RF) chains. Results exhibit that the total achievable SE of the hybrid architectures with DFT precessing is inferior to the full digital architectures and hybrid architectures with the ideal phase shifters, but the performance attenuation can be compensated by providing the more input SNR and higher number of RF chains. Moreover, we find that the total achievable EE of hybrid architectures with DFT precessing outperforms other massive MIMO architectures that include a full digital implementation, ideal phase shifters, and a switched network.

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Section: Hybrid Massive Mimo Systemmentioning

confidence: 99%

Low Cost and High Efficiency Hybrid Architecture Massive MIMO Systems Based on DFT Processing

Tan

Carvalho

et al. 2018

Wireless Communications and Mobile Computing

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“…Thus, for simplicity, ZF is used as a precoder. For massive MIMO systems, using the law of large numbers, the received SNR for each data stream of the k-th mobile station (MS) is expressed in terms of the number of antennas, transmit power, and number of users: i.e., P k,i (N t − KN r ), while P k,i means transmit power in the i-th stream for the k-th MS [11]. Furthermore, the bit error probability (P b ) in massive MIMO systems with a ZF precoder can be expressed as follows:…”

Section: A Error Characteristics In Massive Mimo Sysetmsmentioning

confidence: 99%

QoE-Aware Scalable Video Transmission in MIMO Systems

et al. 2017

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Abstract-An important concept in wireless systems has been quality of experience (QoE)-aware video transmission. Such communications are considered not only connection-based communications but also content-aware communications, since the video quality is closely related to the content itself. It becomes necessary therefore for video communications to utilize a cross-layer design (also known as joint source and channel coding). To provide efficient methods of allocating network resources, the wireless network uses its cross-layer knowledge to perform unequal error protection (UEP) solutions. In this article, we summarize the latest video transmission technologies that are based on scalable video coding (SVC) over multiple-input multiple-output (MIMO) systems with cross-layer designs. To provide insight into video transmission in wireless networks, we investigate UEP solutions in the delivering of video over massive MIMO systems. Our results show that in terms of quality of experience (QoE), SVC layer prioritization, which was considered important in the prior work, is not always beneficial in massive MIMO systems; consideration must be given to the content characteristics.

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“…For large values of M and K, the related k SINR of MRT precoding is given as [9] (6) From (4), the achievable data rate with MRT can be deduced as…”

Section: B Maximum-ratio-transmission (Mrt) Precodingmentioning

confidence: 99%

“…In [5], in the case of the downlink massive MIMO, the author analyzed the performance of spectral efficiency and energy efficiency and reliability of link using ZF precoding. In [6], the author compared the vector normalization and the matrix of MRT and ZF precoding in the downlink. In [7], in the case of the achievable data rate in a multi-cell downlink, the authors compared the performance of regularized zero-forcing (RZF) and eigen beamforming (BF).…”

Section: Introductionmentioning

confidence: 99%

The Analysis and Comparison of Energy Efficiency Based on Downlink Massive MIMO System

Gao¹,

Wang²,

Li³

2015

JACN

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Abstract-In order to improve the cellular energy efficiency, and without sacrificing the quality of service (QoS) at the user, we minimize the total power consumption. In the paper, under the downlink massive MIMO system, a large number of antennas at base station use to serve multi-users within the same cell. The article derives signal dynamic transmitted power, this problem has shown having a hidden convex optimization, we utilize convex optimization to solve the solutions effectively, and propose optimization algorithm that dynamically assigns energy to users, reduces the loss of energy. Under the same conditions and assumptions, we analyze and compare the performance of conventional maximum ratio transmission (MRT) and zero-forcing (ZF) scheme with optimization algorithm. The simulation results show that they are consistent with the theoretical results, and show the performance of optimization algorithm is better than the ZF, ZF better than the MRT under the same conditions. IndexTerms-Maximal-ratio-transmission (MRT), zero-forcing (ZF), optimization algorithm, massive MIMO, downlink transmission power.

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Performance Analysis of Massive MIMO for Cell-Boundary Users

Cited by 172 publications

References 23 publications

Low Cost and High Efficiency Hybrid Architecture Massive MIMO Systems Based on DFT Processing

Low Cost and High Efficiency Hybrid Architecture Massive MIMO Systems Based on DFT Processing

QoE-Aware Scalable Video Transmission in MIMO Systems

The Analysis and Comparison of Energy Efficiency Based on Downlink Massive MIMO System

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