Spatial Throughput Maximization of Wireless Powered Communication Networks

Yue, Ling; Duan, Lingjie; Zhang, Rui

doi:10.1109/jsac.2015.2391915

Cited by 121 publications

(143 citation statements)

References 26 publications

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“…Furthermore, WEH-enabled large-scale networks have gained a lot of attention lately [12], [19]- [21]. Many of these works, i.e., [19], [20], discuss various network metrics, e.g., spatial throughput and coverage, but not the probability of connectivity, which guarantees the reliability of safety-critical applications.…”

Section: Related Workmentioning

confidence: 99%

“…Many of these works, i.e., [19], [20], discuss various network metrics, e.g., spatial throughput and coverage, but not the probability of connectivity, which guarantees the reliability of safety-critical applications. It is worth mentioning that [19] is among the first works that consider battery-less WEH-enabled devices. Obviously, this requires very low power devices, but it has been shown that it is possible using appropriate protocols, e.g., harvest-then-transmit.…”

Section: Related Workmentioning

confidence: 99%

“…To ensure that the sensors will always have enough energy to operate, they employ the harvestthen-transmit protocol with which the nodes harvest energy from the PBs for a certain period of time and then consume all of it for measurement and communication [19]. To that end, time is divided into two periods:…”

Section: B Energy Harvesting Modelmentioning

confidence: 99%

“…, as it is also noted in [19]. Then, we calculate the Laplace transform of the sum in (17) that will lead to the distribution of the harvested energy.…”

Section: B Wireless Energy Harvestingmentioning

confidence: 99%

“…Similarly, although works on the allocation of solar harvested energy [17], [18] manage to prevent power outages in the network, they assume that the communication performance remains unaffected by the changes in the energy intake during the network operation. Furthermore, there are several works on large-scale WEH-enabled networks [12], [19]- [21], but: i) they do not study the network connectivity, which is crucial to ensure that all nodes are able to deliver their messages, and ii) they assume that the network devices, i.e., GWs or PBs, are connected to the electricity grid.…”

Section: Introductionmentioning

confidence: 99%

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Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

Mekikis

Kartsakli

Antonopoulos

et al. 2018

IEEE Trans. Wireless Commun.

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Emerging 5G communication paradigms, such as machine-type communication, have triggered an explosion in ad-hoc applications that require connectivity among the nodes of wireless networks.Ensuring a reliable network operation under fading conditions is not straightforward, as the transmission schemes and the network topology, i.e., uniform or clustered deployments, affect the performance and should be taken into account. Moreover, as the number of nodes increases, exploiting natural energy sources and wireless energy harvesting (WEH) could be the key to the elimination of maintenance costs, while also boosting immensely the network lifetime. In this way, zero-energy wireless-powered sensor networks (WPSNs) could be achieved, if all components are powered by green sources. Hence, designing accurate mathematical models that capture the network behavior under these circumstances is necessary to provide a deeper comprehension of such networks. In this paper, we provide an analytical model for the connectivity in a large-scale zero-energy clustered WPSN under two common transmission schemes, namely unicast and broadcast. The sensors are WEH-enabled, while the network components are solar-powered and employ a novel energy allocation algorithm. In our results, we evaluate the tradeoffs among the various scenarios via extensive simulations and identify the conditions that yield a fully connected zero-energy WPSN.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: B Energy Harvesting Modelmentioning

confidence: 99%

“…, as it is also noted in [19]. Then, we calculate the Laplace transform of the sum in (17) that will lead to the distribution of the harvested energy.…”

Section: B Wireless Energy Harvestingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

Mekikis

Kartsakli

Antonopoulos

et al. 2018

IEEE Trans. Wireless Commun.

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Efficient resource allocation for hybrid nonorthogonal multiple access based heterogeneous networks beyond fifth‐generation

Ghafoor

Ali

Khan

et al. 2022

Trans Emerging Tel Tech

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Fifth‐generation (5G) and future beyond fifth‐generation (B5G) networks will require immense capacity due to the high rise in the number of multimedia applications and mobile devices. The heterogeneous networks (HetNets) in 5G and B5G can increase the heterogeneity and network throughput because macro base station‐only (MBS‐only) networks cannot satisfy the drastic increase in capacity demands. Hybrid nonorthogonal multiple access (H‐NOMA) can accommodate the increasing number of multimedia applications and mobile devices in 5G and B5G. H‐NOMA in B5G can also improve spectral efficiency. Before this, the researchers had not considered user clustering with H‐NOMA in HetNets. This article investigates the user clustering with downlink H‐NOMA in HetNet to maximize the network throughput in 5G and B5G. The formulated mathematical problem optimizes the considered key performance indicators (KPIs), that is, users admission in clusters, users association with base stations, power allocation to users, and network throughput. At the same time, it also satisfies the minimum transmit power and data rate requirements of users. The formulated problem is a mixed‐integer nonlinear programming (MINLP) problem. We have proposed an ϵ$$ \epsilon $$‐optimal algorithm, that is, outer approximation algorithm (OAA) to solve the MINLP problem because the complexity of the optimal exhaustive search algorithm (ESA) increases exponentially with an increase in the number of users. H‐NOMA with user clustering in HetNet is evaluated with extensive simulations to show its effectiveness regarding network throughput in 5G and B5G. We have also considered the proposed framework in the MBS‐only network and compared its performance with HetNet. The results verify that the proposed framework in HetNet performs better than the MBS‐only network. The complexity of the ϵ$$ \epsilon $$‐optimal algorithm is calculated that gives ϵ$$ \epsilon $$‐optimal results within ϵ=10prefix−3$$ \epsilon =1{0}^{-3} $$. We have also made a complexity analysis of the proposed OAA and ESA and concluded that the complexity of the proposed OAA algorithm is less than the ESA.

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Throughput Maximization and Fairness Assurance in Data and Energy Integrated Communication Networks

et al. 2018

Data and Energy Integrated Communication Networks

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Abstract-A typical data and energy integrated network (DEIN) conceives a conventional base station (BS), which is capable of simultaneously transmitting the data and energy to user equipments (UEs) during the downlink (DL) transmissions by invoking the time-division-multiple-access (TDMA) protocol in the medium access control (MAC) layer. Several UEs operating in this DEIN are capable of harvesting the energy from the DL transmissions by adopting the power splitting (PS) technique and they are also capable of exploiting the harvested energy for powering their uplink (UL) data transmissions by invoking the TDMA protocol in the MAC layer. Both of the UL sumthroughput and the UL fair-throughput of the DEIN is maximised by deciding the duration of each time-slot during the DL/UL transmissions and by determining the optimal PS factor for each UE. Both of these optimization problems are finally solved by the classic method of Lagrange multipliers in close-form. An interesting observation shows that supporting low-throughput data services during the DL transmissions does not degrade the wireless energy transfer and hence does not reduce the throughput of the UL transmissions.

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Spatial Throughput Maximization of Wireless Powered Communication Networks

Cited by 121 publications

References 26 publications

Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

Connectivity Analysis in Clustered Wireless Sensor Networks Powered by Solar Energy

Efficient resource allocation for hybrid nonorthogonal multiple access based heterogeneous networks beyond fifth‐generation

Throughput Maximization and Fairness Assurance in Data and Energy Integrated Communication Networks

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