Resource allocation for non‐delay‐sensitive satellite services using adaptive coding and modulation–multiple‐input and multiple‐output–orthogonal frequency division multiplexing

Mokari, Nader; Hajipour, Pedram; Mohammadi, Leila; Sardrood, P. Sojoodi; Kashani, Zahra Ghattan

doi:10.1049/iet-com.2015.0191

Cited by 9 publications

(6 citation statements)

References 22 publications

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“…This type of mechanism can prevent more unwanted interference links to mobile users or non-GEO satellite systems. Several studies 9,25,28,[31][32][33][34][35] have addressed power and bandwidth management between GEO or non-GEO satellites and ground stations to interference mitigation. However, the application of interference management through power control is yet to be investigated based on noncooperative Stackelberg game and convex optimization.…”

Section: Main Contributionmentioning

confidence: 99%

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Interference management for spectral coexistence in a heterogeneous satellite network

Hajipour

Shahzadi

Ghazi‐Maghrebi

2020

Satell Commun Network

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Summary With the advent of the fifth generation of mobile radio communication by 2020, there will be many challenges such as increasing service demand with low delay in providing billions of end users called the satellite mobile users. It is expected that terrestrial communication systems will be faced with a dense network having many small cells anywhere and anytime. Therefore, there are some remote regions in the world where terrestrial systems cannot provide any services to end users. Furthermore, because of lack of spectral resources, it is very important that the spectrum is shared between satellite systems and terrestrial equipment by a suitable solution to interference management. In this paper, a heterogeneous satellite network that includes low earth orbit (LEO) satellite constellation and terrestrial equipment is proposed to provide low delay services. In this type of structure, interference management based on transmission power control between LEO satellite systems and mobile users is very important for obtaining high throughput. Moreover, in order to mitigate interference, transmission power control is shown based on noncooperative Stackelberg game under many subgames through pricing‐based algorithm and convex optimization method. Finally, the simulation results show that the performance of this study's system model will be improved through the proposed algorithm.

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Section: Main Contributionmentioning

confidence: 99%

“…This causes delay in providing services and meeting the demands of end users. Therefore, it is very important that each terrestrial network should expand its territory with the use of a satellite system to non‐delay sensitive services …”

Section: Introductionmentioning

confidence: 99%

Interference management for spectral coexistence in a heterogeneous satellite network

Hajipour

Shahzadi

Ghazi‐Maghrebi

2020

Satell Commun Network

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“…A resource allocation policy is designed for video tasks based on the traffic prediction, which is obtained by learning and training the traffic characteristics. 20 In literature, 7,10,21,22 delay-based RAS was investigated. Novel cross-layer packet scheduling scheme to balance the priority, fairness among QoS-differentiated traffic flows, and physical channel data rate factor was proposed by Fan et al 21 The one-objective (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Based on data traffic demands and channel conditions, Choi and Chan 6 showed that a modest number of active parallel beams were sufficient to cover numerous cells efficiently by coupling the power allocation with multi-beam scheduling. To maximize the capacity under the upward transmission power constraint, Mokari et al 7 integrated attractive techniques including multiple-input-multiple-output (MIMO), orthogonal frequency-division multiple (OFDM) access, and adaptive coding and modulation (ACM). It indicated that increasing the number of antennas could enhance the overall transmission efficiency.…”

Section: Introductionmentioning

confidence: 99%

A traffic-awareness dynamic resource allocation scheme based on multi-objective optimization in multi-beam mobile satellite communication systems

Jia

Zhong

2017

International Journal of Distributed Sensor Networks

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Mobile satellite communication systems play an important role in space information networks. They mostly operate at the L or S band and have multiple beams efficiently reusing the limited spectrum. Advanced technologies, such as beamforming, are used to generate numerous beams through multiple feeders, and each beam's power allocation is correlated and constrained. Frequency reuse among multiple beams results in co-channel interference issue, which makes bandwidth allocation among multiple beams coupled. It is a challenging topic to optimize the resource allocation in the real-time service traffic. In this article, a new multi-objective programming scheme is used to solve the dynamic resource allocation problem, guaranteeing high quality-of-service for multiple services of different priorities. Since the dynamic resource allocation problem is formulated as NP-hard, a new traffic-aware dynamic resource allocation (TADRA) algorithm is proposed. This algorithm is proved to be optimal in terms of the Pareto-front under constraints of co-channel interference and onboard transmit power. Simulation results show that the trade-off is well balanced between the call completion ratio in high priority and the throughput for video and data services in medium and low priorities. Additionally, it is shown that the new multi-objective programming scheme, based on the traffic-awareness dynamic resource allocation algorithm, can rapidly achieve the Pareto-front solutions and reduce the computing complexity to a large extent.

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“…With the partially overlapped spectrum of orthogonal subcarriers, orthogonal frequency division multiplexing (OFDM) has been considered as an effective solution for supporting highrate communications owing to its high-spectral efficiency. Although OFDM has been fully discussed for the terrestrial wireless communications and satellite hybrid mobile communication systems [5], it has not been well implemented in the LEO satellite-ground transmission systems due to its high sensitivity to frequency offset caused by Doppler effects.…”

Section: Introductionmentioning

confidence: 99%

Doppler‐robust high‐spectrum‐efficiency VCM‐OFDM scheme for low Earth orbit satellites broadband data transmission

Xiong

Sun

et al. 2017

IET Communications

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Resource allocation for non‐delay‐sensitive satellite services using adaptive coding and modulation–multiple‐input and multiple‐output–orthogonal frequency division multiplexing

Cited by 9 publications

References 22 publications

Interference management for spectral coexistence in a heterogeneous satellite network

Interference management for spectral coexistence in a heterogeneous satellite network

A traffic-awareness dynamic resource allocation scheme based on multi-objective optimization in multi-beam mobile satellite communication systems

Doppler‐robust high‐spectrum‐efficiency VCM‐OFDM scheme for low Earth orbit satellites broadband data transmission

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