Power Allocation in Cognitive Satellite-Vehicular Networks From Energy-Spectral Efficiency Tradeoff Perspective

Ruan, Yuhan; Li, Yongzhao; Wang, Cheng-Xiang; Zhang, Rui; Zhang, Hailin

doi:10.1109/tccn.2019.2905199

Cited by 32 publications

(18 citation statements)

References 38 publications

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“…where Q k m is the queue length at the satellite for user terminal m in cell k at the beginning of an allocation. (8) and 12ensure the downlink power of each STS and the satellite power are upperbounded respectively. (9) states that one block (i, j) can only be assigned to at most one user.…”

Section: E Problem Formulationmentioning

confidence: 99%

“…Du et al [7] considered a software-defined network (SDN) architecture and proposed an auction mechanism for spectrum sharing and traffic offloading in satellite-terrestrial networks. From the energy efficiency perspective, Ruan et al [8] studied the power allocation strategies in spectrum sharing satellite-terrestrial network to maximize energy efficiency while considering the energy-spectral efficiency tradeoff.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, energy efficiency is a significant concern for 5G networks, and Mesodiakaki et al [20] proposed a user association strategy in a backhaul small-cell network by jointly maximizing network energy efficiency as well as spectrum efficiency, while an insightful analysis on the solution is given. Powered by solar panels, improving energy efficiency as well as balancing energy-spectral efficiency tradeoff is also important for satellite-terrestrial networks, as shown in [8]. In this paper, we focus on the throughput maximization, and energy efficiency will be considered in our following research.…”

Section: Introductionmentioning

confidence: 99%

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Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Cao

et al. 2020

IEEE Access

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This paper investigates a satellite-terrestrial backhaul framework to enhance efficient data offloading for heterogeneous terminals, including delay-sensitive and delay-tolerant users. In the considered architecture, ground terminals in satellite-terrestrial small cells can access different services via the satelliteterrestrial station (STS) in each cell. The satellite offloads the requested services to corresponding STSs, and each STS provides services to terrestrial terminals via an OFDM-based downlink system. We aim to maximize the sum throughput of all small cells while integrating joint satellite backhaul power allocation and STS downlink resource allocation. The problem is firstly decomposed into two types of subproblems by decoupling the optimization of satellite backhaul capacity and downlink capacity in small cells. Then, to satisfy users' delay requirements, the downlink STS throughput is maximized over multiple slots, and we propose a two-step algorithm to schedule users during these slots. By taking advantage of a delayviolation parameter, the algorithm iteratively approaches the optimal power and subchannel solution, while guaranteeing the delay requirements. Moreover, to reduce the computational complexity, we propose a greedy-based sub-optimal scheduling algorithm where delay requirements are guaranteed by users' selfsearch for favorable resources, aiming at sacrificing the minimum throughput in exchange for the delay performance. Simulation results show our algorithms effectively improve the throughput performance while ensuring the delay constraints, maintaining a well-performed balance between throughput and delay performance. INDEX TERMS Satellite-terrestrial backhauling, heterogenous services, small cells, delay awareness, lowcomplexity, power allocation, subchannel allocation.

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Section: E Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Cao

et al. 2020

IEEE Access

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“…In Ref. [5], the authors proposed to apply cognitive radio to the satellite-vehicular networks to enhance the spectral efficiency and extend system coverage.…”

Section: Space Networkmentioning

confidence: 99%

Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions

Niu

Shen

Zhang

et al. 2020

Intell. and Converged Netw.

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“…However, they did not apply the advantage of CR and NOMA. The coexistence of satellite and vehicular networks is further studied together with efficient resource utilization; however, the authors mainly investigated power allocation for the cognitive satellite-vehicular network in [36]. In fact, the inherent mobility of V2X-NOMA communications can be further considered to improve these metrics including outage performance, multiple services, network energy efficiency, and reliable transmission.…”

Section: Our Contributionmentioning

confidence: 99%

Cognitive Radio-Assisted NOMA Broadcasting for 5G Cellular V2X Communications: Model of Roadside Unit Selection and SWIPT

Hoang

et al. 2020

Sensors

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The outage performance is a significant problem to implement the Cognitive Radio (CR) paradigm in the Vehicle to Everything (V2X) networks. Recently, more interest has focused on Non-Orthogonal Multiple Access (NOMA) in wireless-powered communication. In the conventional CR-enabled V2X-NOMA network, spectrum sensing and limited battery capacity at the Roadside Unit (RSU) may cause serious outage performance. In this study, RSU selection scheme is adopted. This paper presents an interesting model of a system with Simultaneous Wireless Information and Power Transfer (SWIPT) and a CR-enabled V2X-NOMA network. In the downlink, the RSU harvests wireless energy from Radio Frequency (RF) signals and senses the spectrum state at the same time. A CR-enabled V2X-NOMA system performance is presented by deriving exact expressions of outage probability of distant vehicles. In the overlay CR-enabled V2X-NOMA network, the constraints are transmit power and the number of designed RSU that make significant impacts on system performance. Simulation results show that the CR-enabled V2X-NOMA get benefits from energy harvesting and RSU selection scheme.

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Power Allocation in Cognitive Satellite-Vehicular Networks From Energy-Spectral Efficiency Tradeoff Perspective

Cited by 32 publications

References 38 publications

Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Delay-Aware Satellite-Terrestrial Backhauling for Heterogeneous Small Cell Networks

Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions

Cognitive Radio-Assisted NOMA Broadcasting for 5G Cellular V2X Communications: Model of Roadside Unit Selection and SWIPT

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