Massive MIMO: A survey of recent advances, research issues and future directions

Jameel, Furqan; Faisal, F.; Haider, Muhammad Usman; Butt, Amir Aziz

doi:10.1109/raee.2017.8246040

Cited by 37 publications

(31 citation statements)

References 29 publications

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“…The results demonstrate that their proposed method reduces the bit-error-rate when compared to conventional techniques. Besides this, the incorporation of multi-antenna massive multiple-input-multiple-output (MIMO) networks is another important area of research for heterogeneous networks [16,17]. For instance, the authors of [18] consider full-duplex massive MIMO communication in heterogeneous networks and applied self-backhauling technique for small-cell networks.…”

Section: Related Workmentioning

confidence: 99%

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Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh

Saraereh

Ali

et al. 2020

Sensors

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Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, there is an upsurge in the interest of efficiently deploying small-cell networks for accommodating a growing number of user equipment (UEs). This work further extends the state-of-the-art by proposing an optimization framework for reducing the power consumption of small-cell base stations (BSs). Specifically, a novel algorithm has been proposed which dynamically switches off the redundant small-cell BSs based on the traffic demands of the network. Due to the dynamicity of the formulated problem, a new UE admission control policy has been presented when the problem becomes infeasible to solve. To validate the effectiveness of the proposed solution, the simulation results are compared with conventional techniques. It is shown that the proposed power control solution outperforms the conventional approaches both in terms of accommodating more UEs and reducing power consumption.

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Section: Related Workmentioning

confidence: 99%

“…In this section, we apply semidefinte relaxation technique to solve the nonconvex problems in (17) and (18). We first modify the quality of service constraint in (12)…”

Section: Proposed Solutionmentioning

confidence: 99%

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh

Saraereh

Ali

et al. 2020

Sensors

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“…ii) Favorable Propagation: In many propagation environments, the use of an large number of BS antennas over the number of users produces a favorable propagation where the channel vectors between the users and the BS are pairwise (nearly) orthogonal. The effect of inter-user interference and noise can be minimized by simply linear signal processing under favorable propagation [18].…”

Section: Massive Mimo Communication Technologymentioning

confidence: 99%

Massive MIMO, mmWave and mmWave-Massive MIMO Communications: Performance Assessment with Beamforming Techniques

Engda¹,

Wondie²,

Steinbrunn³

2020

Preprint

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A considerable amount of enabling technologies are being explored in the era of fifth generation (5G) mobile system. The dream is to build a wireless network that substantially improves the existing mobile networks in all performance metrics. To address this 5G design targets, massive MIMO (multiple input multiple output) and mmWave (millimeter wave) communication are also candidate technologies. Luckily, in many respects these two technologies share a symbiotic integration. Accordingly, a logical step is to integrate mmWave communications and massive MIMO to form mmWave-massive MIMO which substantially increases user throughput, improve spectral and energy efficiencies, increase the capacity of mobile networks and achieve high multiplexing gains. Thus, this work analyses the concepts, performances, comparison and discussion of these technologies called: massive MIMO, mmWave Communications and mmWave-massive MIMO systems jointly. Besides, outcomes of extensive researches, emerging trends together with their respective benefits, challenges, proposed solutions and their comparative analysis is addressed. The performance of hybrid analog-digital beamforming architecture with a fully digital and analog beamforming techniques are also analyzed. Analytical and simulation results show that the low-complexity hybrid analog-digital precoding achieves all round comparable precoding gains for mmWave-Massive MIMO technology.

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“…The price range can vary between 20$-300$ for small battery-powered Radio Frequency (RF) drones such as the Parrot Bebop 2, to more than 3000$ for professional drones with advanced control systems and sensors such as the DJI Spreading Wings S1000. In the consumer market segment, drones are mainly used for taking aerial pictures and videos, while in the commercial segment the range of applications is more diverse: mapping of geographical areas, product delivery, and logistics, data collection, crop monitoring, and surveillance [10][11][12]. Drones are increasingly being used also in applications such as crime prevention, weather and meteorology, search and rescue operations, border and maritime patrol and forest fire monitoring.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of UAV-Enabled LoRa Networks for Disaster Management Applications

Saraereh

Alsaraira

Khan

et al. 2020

Sensors

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In hostile and remote environments, such as mountains, forests or suburban areas, traditional communications may not be available, especially after a disaster, such as a flood, a forest fire or an earthquake. In these situations, the wireless networks may become congested or completely disrupted and may not be adequate to support the traffic generated by rescuers. It is also considered as the key tool in Corona Virus (COVID-19) battle. Moreover, the conventional approaches with fixed gateways may not work either, and this might lead to decoding errors due to the large distance between mobile nodes and the gateway. To avoid the decoding errors and improve the reliability of the messages, we propose to use intermediate Unmanned Aerial Vehicles (UAVs) to transfer messages from ground-based Long Range (LoRa) nodes to the remote base station (BS). Specifically, this UAV-enabled LoRa architecture is based on the ad hoc WiFi network, wherein, UAVs act as relays for the traffic generated between LoRa nodes and BS. To make the architecture more efficient, a distributed topology control algorithm is also proposed for UAVs. The algorithm is based on virtual spring forces and movement prediction technique that periodically updates the UAV topology to adapt to the movement of the ground-based LoRa nodes that move on the surface. The simulation results show the feasibility of the proposed approach for packet reception rate and average delay quality of service (QoS) metrics. It is observed that the mechanisms implemented in a UAV-enabled LoRa network effectively help to improve the packet reception rate with nominal buffer delays.

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Massive MIMO: A survey of recent advances, research issues and future directions

Cited by 37 publications

References 29 publications

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Massive MIMO, mmWave and mmWave-Massive MIMO Communications: Performance Assessment with Beamforming Techniques

Performance Evaluation of UAV-Enabled LoRa Networks for Disaster Management Applications

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