MIMO cellular networks with Simultaneous Wireless Information and Power Transfer

Thanh, Tu Lam; Renzo, Marco Di; Coon, Justin P.

doi:10.1109/spawc.2016.7536746

Cited by 9 publications

(13 citation statements)

References 19 publications

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“…We can conclude that the power splitting ratio must be as large as possible and its fine tuning is of limited interest in the design of ultra-dense SWIPT networks. It is worth remarking that this conclusion is radically different from previous works (see [11]) in which the authors consider values of harvested power below −60dBm. In that case, multi-user interference has a limited role while the optimisation of the power splitting ratio is paramount.…”

Section: ) Swipt Receiver Analysiscontrasting

confidence: 86%

“…In this paper, the authors have proposed a tractable mathematical approach for the system-level analysis and optimization of SWIPT-enabled outdoor cellular networks. In [11], a mathematical framework is presented for MIMO SWIPT-enabled outdoor cellular networks. Though the methodology that is presented in both papers is extremely valuable in providing a tool for analysing the performance of stochastic SWIPT-enabled networks, their studies consider an outdoor cellular network that is too sparse to satisfy the constraints on the minimum received power that would enable RF energy harvesting.…”

Section: A Background and Motivationsmentioning

confidence: 99%

“…where Q * ≥ 0 is the sensitivity of the energy harvester and R * ≥ 0 is the minimum achievable rate. A convenient reformulation of the J-CCDF has been proposed in [11], and it amounts to DRAFT January 14,2018 computing the probability that the multi-user interference belongs to an interval for which a minimum SINR γ can be achieved conditioned to a minimum amount of received power q * , i.e.…”

Section: B Swipt Performance Analysismentioning

confidence: 99%

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On the Effect of Blockage Objects in Dense MIMO SWIPT Networks

Akın

Stupia

Vandendorpe

2019

IEEE Trans. Commun.

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Simultaneous information and power transfer (SWIPT) is characterised by the ambiguous role of multi-user interference. In short, the beneficial effect of multi-user interference on RF energy harvesting is obtained at the price of a reduced link capacity, thus originating nontrivial trade-offs between the achievable information rate and the harvestable energy. Arguably, in indoor environments, this tradeoff might be affected by the propagation loss due to blockage objects like walls. Hence, a couple of fundamental questions arise. How much must the network elements be densified to counteract the blockage attenuation? Is blockage always detrimental on the achievable rate-energy trade-off? In this paper, we analyse the performance of an indoor multiple-input multiple-output (MIMO) SWIPT-enabled network in the attempt to shed a light of those questions. The effects of the obstacles are examined with the help of a stochastic approach in which energy transmitters (also referred to as power heads) are located by using a Poisson Point Process and walls are generated through a Manhattan Poisson Line Process. The stochastic behaviour of the signal attenuation and the multi-user interference is studied to obtain the Joint Complementary Cumulative Distribution Function (J-CCDF) of information rate and harvested power. Theoretical results are validated through Monte Carlo simulations. Eventually, the rateenergy trade-off is presented as a function of the frequency of walls to emphasise the cross-dependences between the deployment of the network elements and the topology of the venue.A. I. Akin, I. Stupia and L. Vandendorpe are with the

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Section: ) Swipt Receiver Analysiscontrasting

confidence: 86%

Section: A Background and Motivationsmentioning

confidence: 99%

Section: B Swipt Performance Analysismentioning

confidence: 99%

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On the Effect of Blockage Objects in Dense MIMO SWIPT Networks

Akın

Stupia

Vandendorpe

2019

IEEE Trans. Commun.

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“…In order to deal with this problem, stochastic geometry (SG) has been introduced as a random and spatial model to analyse the performance of dense networks [12]. A mathematical framework for stochastic geometry analysis of SWIPT systems was originally proposed in [13] and subsequently extended in [14]- [16] for MIMO SWIPT networks. However, all those studies consider outdoor cellular networks and propagation models based on distance-based path-loss functions only, thus failing in describing the correlated structure of the signal blockage due to buildings and walls.…”

Section: A Motivationsmentioning

confidence: 99%

“…where σ 2 * = σ 2 n + σ 2 c 1−ρ , q * = Q * ρζ , T * = q * +σ 2 * γ+1 and γ = 1/ 2 R * /B − 1 . Eventually, by substituting (7), (13), and (22) into (23), the J-CCDF F c (R * , Q * ) is obtained through the expression [14] F c (R * , Q * ) = K m,n m s=1…”

Section: Rate-energy Trade-off Analysismentioning

confidence: 99%

SWIPT-based Real-Time Mobile Computing Systems: A Stochastic Geometry Perspective

Akın

Janatian

Stupia

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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Driven by the Internet of Things vision, recent years have seen the rise of new horizons for the wireless ecosystem in which a very large number of mobile low power devices interact to run sophisticated applications. The main hindrance to the massive deployment of low power nodes is most probably the prohibitive maintenance cost of battery replacement and the ecotoxicity of the battery production/end-of-life. An emerging research direction to avoid battery replacement is the combination of radio frequency energy harvesting and mobile computing (MC). In this paper, we propose the use of simultaneous information and power transfer (SWIPT) to control the distributed computation process while delivering power to perform the computation tasks requested. A real-time MC system is considered, meaning that the trade-off between the information rate and the energy harvested must be carefully chosen to guarantee that the CPU may perform tasks of given complexity before receiving a new control signal. In order to provide a system-level perspective on the performance of SWIPT-MC networks, we propose a mathematical framework based on stochastic geometry to characterise the rateenergy trade-off of the system. The resulting achievable performance region is then put in relation with the CPU energy consumption to investigate the operating conditions of real-time computing systems.Finally, numerical results illustrate the joint effect of the network densification and the propagation environment on the optimisation of the CPU usage. Index TermsSimultaneous wireless information and power transfer (SWIPT), RF energy harvesting, mobile computing (MC), trade-off, stochastic geometry, network analysis. A. I. Akin, N. Janatian, I. Stupia and L. Vandendorpe are with the about the possible limitations in energy storage and computing capacity for the mobile low power devices (LPDs) that will populate the future wireless ecosystem. Currently, researchers and engineers are striving to lay the foundations of a technological breakthrough towards a new generation of LPDs with enhanced real-time processing capability that would support the IoT vision. In this sense, the appealing solutions proposed so far delineate a new framework for the design and the optimisation of wireless networks in which computation and traditional communication aspects are merged into a unified perspective [1]. The consequence is a new network formalism in which the final objective of the design process is not the maximisation of the transferable information per se, but rather the maximisation of the information instrumental in guaranteeing an optimal use of the limited computation resources available at the LPDs [2]. Following this line of thought, it appears that the implementation of such mobile computing (MC) systems is confronted with a double bottleneck: i) the restrictions on the amount of energy available to perform sophisticated computation tasks, and ii) the limited capacity of the radio links. A potential solution to overcome this double obstacle consists in a ...

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Performance Evaluation of Incremental Relaying in Underlay Cognitive Radio Networks with Imperfect CSI

Tung²,

Chien

et al. 2021

2020 IEEE Eighth International Conference on Communications and Electronics (ICCE)

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MIMO cellular networks with Simultaneous Wireless Information and Power Transfer

Cited by 9 publications

References 19 publications

On the Effect of Blockage Objects in Dense MIMO SWIPT Networks

On the Effect of Blockage Objects in Dense MIMO SWIPT Networks

SWIPT-based Real-Time Mobile Computing Systems: A Stochastic Geometry Perspective

Performance Evaluation of Incremental Relaying in Underlay Cognitive Radio Networks with Imperfect CSI

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