Packet scheduling in MIMO satellite long term evolution networks

Aiyetoro, Gbolahan; Giambene, Giovanni; Takawira, Fambirai

doi:10.1002/sat.1156

Cited by 10 publications

(6 citation statements)

References 33 publications

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“…The inter‐spot‐beaminterference in [43] is adopted for thischannel model. The details of this channel model and how the CQI is computedfrom the SNIR can be obtained in [44,45].

bold-italicP = (][, \begin{matrix} 1em4pt \\ 0.6822 & 0.1579 & 0.0561 & 0.1037 \\ 0.2887 & 0.2474 & 0.0447 & 0.4192 \\ 0.1682 & 0.0966 & 0.1745 & 0.5607 \\ 0.0098 & 0.0199 & 0.0150 & 0.9554 \end{matrix})

Based on the reported CQI at the eNodeB, the packets of thescheduled UEs are transmitted using the suitable MCS.…”

Section: Numerical Resultsmentioning

confidence: 99%

Near‐optimal packet scheduling scheme in satellite LTE networks

2017

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“…The inter‐spot‐beaminterference in [43] is adopted for thischannel model. The details of this channel model and how the CQI is computedfrom the SNIR can be obtained in [44,45].

bold-italicP = (][, \begin{matrix} 1em4pt \\ 0.6822 & 0.1579 & 0.0561 & 0.1037 \\ 0.2887 & 0.2474 & 0.0447 & 0.4192 \\ 0.1682 & 0.0966 & 0.1745 & 0.5607 \\ 0.0098 & 0.0199 & 0.0150 & 0.9554 \end{matrix})

Based on the reported CQI at the eNodeB, the packets of thescheduled UEs are transmitted using the suitable MCS.…”

Section: Numerical Resultsmentioning

confidence: 99%

Near‐optimal packet scheduling scheme in satellite LTE networks

2017

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“…The channel model that is considered in this paper is an empirical-stochastic model for Land Mobile Satellite MIMO (LMS-MIMO) used in [31,32]. The stochastic properties of this channel model are obtained from the S-band tree-lined road campaign's measurement done in a suburban area using dual circular polarizations.…”

Section: Channel Modelmentioning

confidence: 99%

“…This interference is obtained as a result of power received from satellite gNodeBs sharing the same frequency. Details of how the interference is computed and the considered channel parameters are provided in [31]. The Signal-to-Noise plus Interference Ratio (SNIR) for each subchannel can be expressed as follows in dB:…”

Section: Channel Modelmentioning

confidence: 99%

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Spectrum Management Schemes for Internet of Remote Things (IoRT) Devices in 5G Networks via GEO Satellite

Aiyetoro

Owolawi

2019

Future Internet

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The rapid growth of not just mobile devices but also Internet of Things (IoT) devices has introduced a new paradigm in mobile networks. This evolution and the continuous need to provide spectrum efficient, high data rates, low latency, and low energy consumption radio access networks have led to the emergence of fifth generation (5G) networks. Due to technical and economical limitations, the satellite air interface is expected to complement the 5G terrestrial air interface in the provision of 5G services including IoT communications. More importantly, it is on this premise that the 5G satellite air interface is expected to provide network access to IoT devices in rural and remote areas termed Internet of Remote Things (IoRT). While this remains an interesting solution, several radio resource management issues exist. One of them, spectrum management, in the 5G satellite as it affects IoRT communications, remains unclear. Hence, the aim of this paper is to investigate and recommend the spectrum management scheme that will be most suitable not only for Human-to-Human communications but also Machine-to-Machine communications in 5G satellite networks. In order to conduct this investigation, a new dynamic scheduling scheme that will be suitable for such a scenario is proposed in this paper. The investigation is conducted through simulations, using throughput, delay, spectral efficiency, and fairness index as the performance metrics.Also, recent studies estimate that approximately 4 billion people still lack access to internet [17]. The economic and technical viabilities of the implementation of terrestrial global coverage remains infeasible not only due to rural and remote areas but also passengers on high-speed trains, speed boats or aircrafts. Hence, the need for the satellite segment to complement the terrestrial network infrastructure in the envisaged 5G communication systems cannot be over emphasized in order to address the limitations of the terrestrial network infrastructure. The satellite components will also be able to support new machine-type communications-based applications and the new 5G system is expected to accommodate diverse RANs to operate together, including satellites [18]. It is also envisaged that the satellite systems can support all the use case scenarios that the terrestrial counterparts will be able to provide [19]. It is indeed well recognized that one of the directions in the evolution of the 5G is towards the concept of Internet of Things (IoT) and it is the concept of smart objects that drives the implementation of this new paradigm [20]. No doubt, the satellite communications systems have the potential to play a crucial role in this 5G framework for different reasons.Firstly, smart objects are often located over a wide geographical area, remote or inaccessible. This scenario of IoT is referred to as the Internet of (Remote) Things (IoRT). In the IoRT scenario, satellite communication systems provide a more cost-effective solution with respect to other terrestrial technologies. Secondly, s...

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“…

I = true \sum_{i = 1}^{N_{b}} false(P r_{i, j} - P_{i} - M false),

where P r i , j is the received power of UE i at subframe j , M is the channel fading, N b is the number of the spot beams sharing the same frequency band, and P i is the path loss. Their mathematical formulas are detailed in Piro et al and Aiyetoro et al for terrestrial and satellite‐LTE systems, respectively.…”

Section: Satellite‐lte System Modelmentioning

confidence: 99%

Leveraging multiuser diversity for adaptive hybrid satellite‐LTE downlink scheduler (H‐MUDoS) in emerging 5G‐satellite network

Zangar

Hendaoui²

2018

Satell Commun Network

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In order to achieve ubiquitous coverage and service continuity in future 5G network, satellite-based access is the best solution to complement the terrestrial LTE-A. In light of this, we introduce a channel-aware hybrid scheduling technique on the basis of satellite-LTE spectrum sharing. According to the user-experienced channel, base stations (eNodeB) and the satellite will work cooperatively. The eNodeB mainly provides service in urban area for high density population. Meanwhile, the satellite will perform either offloading, providing service for under-served users, or extra coverage for users in rural and remote areas having no coverage of eNodeB. Leveraging the multiuser diversity, we implement a new metrics computation method for hybrid satellite-LTE downlink scheduler (H-MUDoS). Compared with other existing schedulers, simulation results clearly demonstrate the high performance of H-MUDoS in terms of spectral efficiency in addition to improvement of the quality-of-service requirements and capacity maximization. KEYWORDS hybrid architecture, LEO satellite, LTE-A, offloading, scheduling, spectral efficiency, 5G | INTRODUCTIONThe increasing demands of data traffic in addition to limited available spectrum puts more pressure and challenging issues on emerging 5G network expectations. Thus, investigations in innovative technologies in the heterogeneous terrestrial-satellite network are crucial to address the 5G dilemma. In addition, considering the lack of coverage in many regions (about 71% of rural population are not covered 1 in 2015), ubiquitous on-demand coverage is a key enabler to ensure the future 5G network paradigm. As a matter of fact, the satellite component is fundamental to provide 5G services anywhere anytime either by providing a backhaul or through direct access. It is expected that the satellite solution will be a part of the hybrid network configuration in 5G HetNet. 2 In fact, global coverage remains the major added value of satellite communications. 3 The O3b project aims to extend the coverage for "The Other 3 Billion" population of the world where broadband internet is unavailable. 4 Moreover, the satellite solution comes to the rescue when terrestrial infrastructure is unavailable and remains the best solution for public safety or in emergency situations. On top of this, the cost of exclusive terrestrial coverage is unbearable to address the increasing data traffic and network demand for rural and remote areas.Kuang et al 1 describe the coverage cost on the basis of "long tail" concept distribution. As a matter of fact, satellite technology is cost-effective in rural and remote areas in addition to urban/suburban areas. Meanwhile, the mobile terminals are more and more miniaturized compared with the past ones, ie, Thuraya XT-PRO, which is supported by the most robust and powerful satellite network. Thanks to its advanced omnidirectional antenna Thuraya XT-PRO offers full walk-and-talk capability in addition to an uninterrupted signal even in the harshest environments. 5 next generation ne...

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Packet scheduling in MIMO satellite long term evolution networks

Cited by 10 publications

References 33 publications

Near‐optimal packet scheduling scheme in satellite LTE networks

Near‐optimal packet scheduling scheme in satellite LTE networks

Spectrum Management Schemes for Internet of Remote Things (IoRT) Devices in 5G Networks via GEO Satellite

Leveraging multiuser diversity for adaptive hybrid satellite‐LTE downlink scheduler (H‐MUDoS) in emerging 5G‐satellite network

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