Sectoring in multi-cell massive MIMO systems

Shahsavari, Shahram; Hassanzadeh, Parisa; Ashikhmin, Alexei; Erkip, Elza

doi:10.1109/acssc.2017.8335510

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…The proof of Lemma 1 is provided in Appendix C. Due to quasi-concavity of problem ( 16), the solution can be obtained using the bisection method and a series of convex feasibility checking problems. We omit the details of this method due to the space limit and refer the reader to [23], [26], [35], [36] where similar approaches are applied.…”

Section: ) Compsec Setting With Nmfmentioning

confidence: 99%

“…We use this model to study the impact of three-fold sectorization in massive MIMO systems where the beamwidth is considered to be 120 • for each antenna element. The described sectorized radiation model, which has also been used in our recent work [23], is ideal due to the constant main-lobe and back-lobe gains as well as the sharp roll-off on the edge between the main-lobe and the back-lobe regions. Consequently, using this model leads to an upper-bound for the performance which can be used as a benchmark.…”

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confidence: 99%

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Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas

Shahsavari¹,

Nosrati²,

Hassanzadeh³

et al. 2021

Preprint

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Non-cooperative cellular massive MIMO, combined with power control, is known to lead to significant improvements in per-user throughput compared with conventional LTE technology. In this paper, we investigate further refinements to massive MIMO, first, in the form of three-fold sectorization, and second, coordinated multi-point operation (with and without sectorization), in which the three base stations cooperate in the joint service of their users. For these scenarios, we analyze the downlink performance for both maximum-ratio and zero-forcing precoding and derive closed-form lower-bound expressions on the achievable rate of the users. These expressions are then used to formulate power optimization problems with two throughput fairness criteria: i) network-wide max-min fairness, and ii) per-cell max-min fairness. Furthermore, we provide centralized and decentralized power control strategies to optimize the transmit powers in the network. We demonstrate that employing sectorized antenna elements mitigates the detrimental effects of pilot contamination by rejecting a portion of interfering pilots in the spatial domain during channel estimation phase. Simulation results with practical sectorized antennas reveal that sectorization and multi-point coordination combined with sectorization lead to more than 1.7× and 2.6× improvements in the 95%-likely per-user throughput, respectively. I. IntroductionThe development of new technologies and applications such as virtual reality, ultra high definition video conferencing, and internet of everything has caused a substantial increase in

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Section: ) Compsec Setting With Nmfmentioning

confidence: 99%

mentioning

confidence: 99%

Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas

Shahsavari¹,

Nosrati²,

Hassanzadeh³

et al. 2021

Preprint

Self Cite

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“…In the related work of massive MIMO mostly consider the omnidirectional antennas for the base station. It is eminent to know that base station directional antennas are used along with sectorization antennas [12] to increase SINR of the cellular network. In massive MIMO multiples antennas are used, it poses the major challenges in it [13], a number of antennas are to increase the energy consumption and cost as well.…”

Section: Related Workmentioning

confidence: 99%

Spectral Efficiency of Massive MIMO Communication Systems with Zero Forcing and Maximum Ratio Beamforming

Ali¹,

Qureshi²,

Memon³

et al. 2018

ijacsa

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The massive multiple-input-multiple-output (MIMO) is a key enabling technology for the 5G cellular communication systems. In massive MIMO (M-MIMO) systems few hundred numbers of antennas are deployed at each base station (BS) to serve a relatively small number of single-antenna terminals with multiuser, providing higher data rate and lower latency. In this paper, an M-MIMO communication system with a large number of BS antennas with zero-forcing beamforming is proposed for the improved spectral efficiency performance of the system. The zero forcing beamforming technique is used to overcome the interference that limits the spectral efficiency of M-MIMO communication systems. The simulation results authenticate the improvement in the spectral efficiency of M-MIMO system. The spectral efficiency value using zero-forcing beamforming is near to the spectral efficiency value with the nointerference scenario.

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“…As detailed below, the system operates via TDD for the purpose of uplink-based channel estimation at the BSs [17], and it uses a frequency reuse scheme that assigns a different band to each BS in the area under study (see, e.g,. [18]). Our focus is the design of downlink beamforming vectors based on estimated CSI with the goal of ensuring performance guarantees in terms of both data transmission and localization in the presence of finite-resolution front-ends at the BSs.…”

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confidence: 99%

“…As in [16], we assume that each BS j communicates with the MSs simultaneously over a frequency band j that is orthogonal to the bands i assigned to any other BS i = j. Note that this precludes the use of cooperative processing across BSs, such as cooperative multi-point (CoMP) transmission [18]. As shown in Fig.…”

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confidence: 99%

Optimization of Massive Full-Dimensional MIMO for Positioning and Communication

Jeong

Simeone

Kang

2018

IEEE Trans. Wireless Commun.

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Massive Full-Dimensional multiple-input multiple-output (FD-MIMO) base stations (BSs) have the potential to bring multiplexing and coverage gains by means of three-dimensional (3D) beamforming. Key technical challenges for their deployment include the presence of limited-resolution front ends and the acquisition of channel state information (CSI) at the BSs. This paper investigates the use of FD-MIMO BSs to provide simultaneously highrate data communication and mobile 3D positioning in the downlink. The analysis concentrates on the problem of beamforming design by accounting for imperfect CSI acquisition via Time Division Duplex (TDD)-based training and for the finite resolution of analog-to-digital converter (ADC) and digital-to-analog converter (DAC) at the BSs.Both unstructured beamforming and a low-complexity Kronecker beamforming solution are considered, where for the latter the beamforming vectors are decomposed into separate azimuth and elevation components. The proposed algorithmic solutions are based on Bussgang theorem, rank-relaxation and successive convex approximation (SCA) methods. Comprehensive numerical results demonstrate that the proposed schemes can effectively cater to both data communication and positioning services, providing only minor performance degradations as compared to the more The work of O. 2 conventional cases in which either function is implemented. Moreover, the proposed low-complexity Kronecker beamforming solutions are seen to guarantee a limited performance loss in the presence of a large number of BS antennas. Index Terms 3D beamforming, localization, full-dimensional MIMO (FD-MIMO), digital-to-analog converter (DAC), analogto-digital converter (ADC), Bussgang theorem, successive convex approximation (SCA). I. INTRODUCTION Mobile broadband communication in the New Radio (NR) physical layer of 5G systems is not only expected to increase data rate and reliability, but also to cater to new services, including proactive radio resource management, intelligent traffic systems, autonomous vehicles, Internet of Things (IoT), and device-to-device communication for disaster response and emergency relief. Services such as these can benefit from location awareness at the mobile users [1], [2]. According to [3], 5G is envisioned to attain positioning accuracy of one meter or less, outperforming existing positioning techniques such as GPS and wireless local area network (WLAN) fingerprinting-based systems. The support for positioning in Long-Term Evolution (LTE) systems has been standardized in the form of downlink observed time difference of arrival (OTDOA) in Release 9 and unlink TDOA (UTDOA) in Release 11, with additional work on dedicated signals, procedures, and requirements for vertical localization accuracy to be carried out for in Release 14, which marks the start of 5G [4]. Among the key technologies introduced to boost the spectral efficiency of 5G, the use of very large antenna arrays, or massive multiple-input multiple-output (MIMO) systems, [5]-[12] at the base stations (BSs) ...

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Sectoring in multi-cell massive MIMO systems

Cited by 10 publications

References 13 publications

Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas

Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas

Spectral Efficiency of Massive MIMO Communication Systems with Zero Forcing and Maximum Ratio Beamforming

Optimization of Massive Full-Dimensional MIMO for Positioning and Communication

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