Three-Dimensional Modeling and Simulation of MIMO Mobile-to-Mobile via Stratospheric Relay Fading Channels

Michailidis, Emmanouel T.; Theofilakos, P.; Kanatas, Αthanasios G.

doi:10.1109/tvt.2012.2236691

Cited by 31 publications

(29 citation statements)

References 44 publications

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“…The analysis of the proposed mechanism of power management sheds light on more advanced mechanisms to be applied for Multiple-Input Multiple-Output (MIMO) Beamforming strategies [19] and MIMO Relay [20] scenarios, as the same philosophy of power management could be applied.…”

Section: Discussionmentioning

confidence: 99%

Power Management in Multiuser Adaptive Modulation Transmission under QoS Requirements

Althunibat

Skianis

Verikoukis

2013

International Journal of Antennas and Propagation

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A transmitter power management mechanism is presented in this paper where Multiple-Input Multiple-Output (MIMO) Multiuser Random Beamforming with Adaptive Modulation strategy is performed by the system. The objective of the proposed mechanism is quality of service (QoS) satisfaction for the scheduled user. The QoS is represented by the application demanded data rate and symbol error rate. The power outage problem is considered and a practical method to minimize the outage probability is proposed. The obtained results are encouraging as they show a great decrease in the system power budget. The multiuser system capability is also exploited to achieve larger power saving values and smaller probability of power outage by scheduling the user with the best channel characteristics at each time instant. The amount of saved power and the power outage probability are both presented through closed-form expressions. These theoretical results are compared to computer simulations, which show very good agreement in performance.

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Section: Discussionmentioning

confidence: 99%

Power Management in Multiuser Adaptive Modulation Transmission under QoS Requirements

Althunibat

Skianis

Verikoukis

2013

International Journal of Antennas and Propagation

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“…Consequently, it is hard to depict the statistical properties of the MIMO V2V channel. Note that cooperative relay diversity technique has been regarded as a powerful approach to combat wireless channel fading and improve system performance [15][16][17][18][19]. For example, the performance of the secondary users in underlay cognitive networks with opportunistic relay selection was studied in [17].…”

Section: Introductionmentioning

confidence: 99%

“…For example, the performance of the secondary users in underlay cognitive networks with opportunistic relay selection was studied in [17]. A 3D two-cylinder model for MIMO M2M via stratospheric-relay narrowband channels was proposed in [18]. In [19], a geometry-based scattering model for MIMO V2V relay-based cooperative channels is presented.…”

Section: Introductionmentioning

confidence: 99%

A Non-Stationary Geometry-Based Cooperative Scattering Channel Model for MIMO Vehicle-to-Vehicle Communication Systems

Qiu¹,

Xiao²

2019

KSII TIIS

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Traditional channel models for vehicle-to-vehicle (V2V) communication usually assume fixed velocity in static scattering environment. In the realistic scenarios, however, time-variant velocity for V2V results in non-stationary statistical properties of wireless channels. Dynamic scatterers with random velocities and directions have been always utilized to depict the non-stationary statistical properties of the channel. In this paper, a non-stationary geometry-based cooperative scattering channel model is proposed for multiple-input multiple-output (MIMO) V2V communication systems, where a birth-death process is used to capture the appearance and disappearance dynamic properties of moving scatterers that reflect the time-variant time correlation and Doppler spectrum characteristics. Moreover, our model has more straight and concise to study the impact of the vehicular traffic density on channel characteristics and thus avoid complicated procedure in deriving the analytical expressions of the channel parameters and functions. The numerical results validate our analysis and demonstrate that setting important parameters of our model can appropriately build up more purposeful measurement campaigns in the future.

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“…Mobile‐to‐mobile communications is another important research area considering the development of ad hoc networks. Thus, it is important to understand the mobile‐to‐mobile MIMO channel .…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient cooperative localization in mobile WSN

Taheri

Motamedi

2016

IEEJ Transactions Elec Engng

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Design and implementation of an energy-efficient protocol is one of the main challenges in wireless sensor networks (WSNs). In terms of localization, both energy efficiency and accuracy must be addressed to achieve the final goals of localization. In mobile sensor nodes, where battery power is the most hardware resource limitation, accurate localization needs to be extremely energy efficient. In this work, a virtual multiple-input multiple-output (VMIMO) technique is deployed to tackle the problems of getting more energy efficiency and higher accuracy simultaneously.In this case, the optimum selection of the number of transceiver nodes can be obtained with the lowest possible total energy consumption, localization error, and speed of nodes. In addition, VMIMO decreases the power of transmitters, and therefore will lead to the reduction of destructive effects of electromagnetic sensitivity (EMS) on the body.

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Three-Dimensional Modeling and Simulation of MIMO Mobile-to-Mobile via Stratospheric Relay Fading Channels

Cited by 31 publications

References 44 publications

Power Management in Multiuser Adaptive Modulation Transmission under QoS Requirements

Power Management in Multiuser Adaptive Modulation Transmission under QoS Requirements

A Non-Stationary Geometry-Based Cooperative Scattering Channel Model for MIMO Vehicle-to-Vehicle Communication Systems

Energy‐efficient cooperative localization in mobile WSN

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