Optimisation of the transmission capacity of cognitive networks

Pimentel, Heloísa Peixoto de Barros; Cardieri, Paulo

doi:10.1049/iet-com.2019.0628

Cited by 2 publications

(13 citation statements)

References 20 publications

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“…2 1 This result was previously obtained by Zaidi et al [37] and Haenggi [38]. 2 The Lambert function W k (z ) is the solution to W k (z )e W k (z ) = z.…”

Section: Theoremsupporting

confidence: 67%

“…The key restriction in these maximisation problems is that the optimised D2D network cannot cause excessive degradation to the cellular network. As we show in the following sections, this restriction can be satisfied by imposing that the product

λ_{d} \times P_{d}^{2 / α}

is kept fixed, as proposed by Pimentel and Cardieri in [2]. In the present work, we extend the analysis presented in [2] by further investigating the behaviour of the D2D ASE.…”

Section: Related Work and Contributionsmentioning

confidence: 85%

“…For the maximisation of ASE d , we use the strategy proposed by Pimentel et al [2], summarised as follows. Expression (2) shows that the interference caused by D2D transmissions to cellular links is expressed by the term d × P d . This means that, if we keep this product fixed while maximising ASE d , the cellular successful transmission probability remains unaffected.…”

Section: The D2d Performance Maximisation Strategiesmentioning

confidence: 99%

“…As will be shown in the following sections, the level of interference caused by D2D transmission to cellular links is directly proportional to the product

λ_{normald} \times P_{normald}^{2 / α}

, where λ d and P d are the D2D density of users and transmit power, respectively, and α is the path loss exponent of the propagation channel model. Therefore, we follow the strategy proposed by Pimentel and Cardieri in [2] and maximise D2D ASE keeping the quantity

λ_{normald} \times P_{normald}^{2 / α}

fixed. For the maximisation of energy efficiency, we employ a different approach in order to capture the intricacies of the function that models the D2D energy efficiency, as discussed in the following sections.…”

Section: Introductionmentioning

confidence: 99%

“…As will be shown in the following sections, the level of interference caused by D2D transmission to cellular links is directly proportional to the product d × P 2∕ d , where d and P d are the D2D density of users and transmit power, respectively, and is the path loss exponent of the propagation channel model. Therefore, we follow the strategy proposed by Pimentel and Cardieri in [2] and maximise D2D ASE keeping the quantity d × P…”

mentioning

confidence: 99%

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Area spectral efficiency and energy efficiency in underlay D2D cellular networks

Plaza

Cardieri

2020

IET Communications

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Device-to-device (D2D) communication has attracted a great deal of attention in the last few years due to its potential to enhance wireless network capacity and reduce energy consumption, among other benefits. Here, the problem of maximisation of the performance of a D2D network in a scenario in which D2D users share communication channels with users of a cellular network is investigated. Using stochastic geometry tools, the problems of maximisation of the performance metrics area spectral efficiency (ASE) and energy efficiency (EE) of the D2D network by adjusting the density, transmit power, and link throughput of D2D users are formulated and solved. The maximisation of ASE and EE is performed by imposing that the successful transmission probabilities of both D2D and cellular networks are not below given minimum acceptable levels. Based on the derived formulation, the effects of several parameters on the network performance are assessed. The study shows the existence of three possible operating regimes for the D2D network, according to the behaviours (increasing or decreasing) of ASE and EE when the quality of the D2D links increases. 1 INTRODUCTION Device-to-device (D2D) communication has been considered in the last years as one of the 5G wireless networks key technologies. In short, D2D communication allows nearby user devices to directly communicate with each other, that is, without having base stations involved in the message transmissions. Consequently, D2D links usually involve shorter communication distances, requiring reduced transmit power, causing lower interference, and leading to higher spectral efficiency transmission schemes, among other benefits, when compared to conventional cellular communication. Regarding spectrum usage, D2D devices can operate either in the in-band mode, or in the out-ofband mode [1]. In the former mode, D2D links use the cellular spectrum, while in the later, other bands (e.g. the unlicensed 2.4 GHz band) are used by D2D links. Under in-band mode, two sharing modes are possible: overlay mode, when D2D and cellular transmissions use orthogonal channels, avoiding interference between cellular and D2D links, and underlay mode, when cellular and D2D share the available channels, with D2D transmitting opportunistically. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…2 1 This result was previously obtained by Zaidi et al [37] and Haenggi [38]. 2 The Lambert function W k (z ) is the solution to W k (z )e W k (z ) = z.…”

Section: Theoremsupporting

confidence: 67%

λ_{d} \times P_{d}^{2 / α}

is kept fixed, as proposed by Pimentel and Cardieri in [2]. In the present work, we extend the analysis presented in [2] by further investigating the behaviour of the D2D ASE.…”

Section: Related Work and Contributionsmentioning

confidence: 85%

Section: The D2d Performance Maximisation Strategiesmentioning

confidence: 99%

“…As will be shown in the following sections, the level of interference caused by D2D transmission to cellular links is directly proportional to the product