Optimal Power Allocation in a Relay-aided Cognitive Network

Savard, Anne; Belmega, Elena Veronica

doi:10.1145/3306309.3306314

Cited by 3 publications

(19 citation statements)

References 21 publications

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“…as opposed to the individual constraints in [28]. This constraint implicitly assumes that the two nodes are able to exchange energy or power via the wireless medium.…”

Section: Overall Opportunistic Power Constraintmentioning

confidence: 99%

“…Coming back to the present study, we further propose a minimum Quality of Service (QoS) constraint in order to protect the licensed user [28] allowing the opportunistic user to transmit as long as the licensed user achieves its desired target Shannon rate, which differs from the more common maximum interference constraints [3]. For instance, such a network could model a D2D-enabled cellular network where the licensed network consists of a cellular user and a base station whereas the opportunistic network consists of a relayaided D2D transmission.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of our knowledge, the closest works to ours are [35], [28], [36]. In [35], the authors investigate the energy-efficiency and rate maximization problems in a cognitive radio network assisted by a full-duplex DF-operating relay composed by a single licensed and opportunistic user/destination pair.…”

Section: Introductionmentioning

confidence: 99%

“…The main differences with the present work are two-fold: a) we aim to study and compare DF and CF instead of only DF; b) we consider a rate-based constraint imposed by the licensed user as opposed to peak interference constraints. In our previous paper [28], we considered a similar problem but assumed that the interfering links between the licensed and opportunistic users are negligible. Moreover, in [28], the transmit powers of the opportunistic user and relay were constrained separately, while here an overall and more general power constraint is assumed.…”

Section: Introductionmentioning

confidence: 99%

“…In our previous paper [28], we considered a similar problem but assumed that the interfering links between the licensed and opportunistic users are negligible. Moreover, in [28], the transmit powers of the opportunistic user and relay were constrained separately, while here an overall and more general power constraint is assumed. Finally, in [36], we considered a special case where the opportunistic users are not able to directly communicate with each other, but only through the helping relay node.…”

Section: Introductionmentioning

confidence: 99%

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Full-Duplex Relaying for Opportunistic Spectrum Access Under an Overall Power Constraint

Savard

Belmega

2020

IEEE Access

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To meet the bold requirements of future generation networks, emerging technologies such as opportunistic spectrum access, multi-tier networks, full-duplexing and cooperative networks have to be exploited. In this paper, we propose to blend all the above and globally optimize a relay-aided cognitive radio network composed of a licensed link and an opportunistic link, which is helped by a full-duplex relay node. The opportunistic transmission is allowed provided that a minimum Quality of Service (QoS) constraint is met at the licensed user. First, we derive the achievable rate region under two relaying schemes, namely Decode-and-Forward (DF) and Compress-and-Forward (CF). Then we investigate the optimal power allocation policies for the opportunistic user and the relay under an overall power constraint. The resulting optimization problems are non-convex programs because of the non-trivial operations at the relay (for both CF and DF) and, for DF relaying, the non-convex QoS constraint. Remarkably, the optimal solution is stated in closed-form for CF, whereas it is obtained numerically for DF. Finally, we evaluate numerically the network performance under the two relaying schemes. It turns out that DF outperforms CF only when the relay is close to the opportunistic transmitter and that CF relaying is always useful. INDEX TERMS Full-duplex relaying, opportunistic spectrum access, optimal power allocation

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“…as opposed to the individual constraints in [28]. This constraint implicitly assumes that the two nodes are able to exchange energy or power via the wireless medium.…”

Section: Overall Opportunistic Power Constraintmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Full-Duplex Relaying for Opportunistic Spectrum Access Under an Overall Power Constraint

Savard

Belmega

2020

IEEE Access

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Unsupervised deep learning to solve power allocation problems in cognitive relay networks

Benatia

Savard

Negrel

et al. 2022

2022 IEEE International Conference on Communications Workshops (ICC Workshops)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Optimal power allocation policies in multi-hop cognitive radio networks

Savard¹,

Belmega²

2020

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications

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This paper investigates a power allocation problem in an optimal and closed-form manner for a relay-aided cognitive network composed of one primary and secondary user/destination pair (e.g., a cellular link coexisting with a device-to-device link in a device-to-device enabled cellular communication setup) and one secondary full-duplex relay. By exploiting the monotonic properties of the objective function and the geometry of the feasible set, we provide the optimal and closed-form power allocation policy assuming the relay performs either Decodeand-Forward (DF) or Compress-and-Forward (CF). We then conjecture that if the secondary direct link is missing, then DF always outperforms CF, irrespective from the system parameters. This conjecture is sustained by numerous numerical simulations.

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Optimal Power Allocation in a Relay-aided Cognitive Network

Cited by 3 publications

References 21 publications

Full-Duplex Relaying for Opportunistic Spectrum Access Under an Overall Power Constraint

Full-Duplex Relaying for Opportunistic Spectrum Access Under an Overall Power Constraint

Unsupervised deep learning to solve power allocation problems in cognitive relay networks

Optimal power allocation policies in multi-hop cognitive radio networks

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