Cooperative allocation for underlay cognitive radio systems

Pischella, Mylène; Ruyet, Didier Le

doi:10.1109/spawc.2013.6612049

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…As a means of addressing some of the limitations of the underlay and overlay arrangements, recent attempts at introducing user cooperation into RA in CRN have been made. A number of studies have all developed models that describe possible cooperation between SUs in a CRN to help achieve a higher utility level. In two studies relays using decode‐and‐forward protocol are made to assist the SUs of the CRN.…”

Section: Related Literaturementioning

confidence: 99%

“…A primary decomposition method is also used in the work of Du et al, after the power allocation problem in the developed model has been formulated. The sum rate of both PUs and SUs is jointly maximized in the work of Pischella and Le Ruyet, while the SUs cooperate to transmit their signals. To achieve a result close to optimal, subchannels are first allocated to the SUs; thereafter, power is assigned to each SU and PU iteratively.…”

Section: Related Literaturementioning

confidence: 99%

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Resource allocation in heterogeneous cooperative cognitive radio networks

Awoyemi

Maharaj

Alfa

2016

Int J Communication

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In cognitive radio networks (CRNs), resources available for use are usually very limited. This is generally because of the tight constraints by which the CRN operate. Of all the constraints, the most critical one is the level of permissible interference to the primary users. Attempts to mitigate the limiting effects of this constraint, thus achieving higher productivity, are a current research focus, and in this work cooperative diversity is investigated as a promising solution. Cooperative diversity has the capability to achieve diversity gain for wireless networks. In the work, therefore, the possibility of and mechanism for achieving greater utility for the CRN when cooperative diversity is incorporated are studied. To accomplish this, a resource allocation model is developed and analyzed for the heterogeneous, cooperative CRN. In the model, during cooperation, a best relay is selected to assist the secondary users that have poor channel conditions. Overall, the cooperation makes it feasible for virtually all the secondary users to improve their transmission rates while still causing minimal harm to the primary users. The results show a marked improvement in the resource allocation performance of the CRN when cooperation is used in contrast to when the CRN operates only by direct communication. KEYWORDScognitive radio networks, cooperative diversity, heterogeneous users, heuristic, linear and nonlinear programming, resource allocation 1 Int J Commun Syst. 2017;30:e3247.wileyonlinelibrary.com/journal/dac

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Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

Resource allocation in heterogeneous cooperative cognitive radio networks

Awoyemi

Maharaj

Alfa

2016

Int J Communication

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“…Studies on resource allocation in cognitive radio communication systems in underlay schemes have been carried out previously [5]- [11]. References [5], [6] allocated resources for SUs in orthogonal frequency-division multiple access (OFDMA) systems. Therefore, the SUs did not interfere with each other.…”

Section: Introductionmentioning

confidence: 99%

Alokasi Resource bagi Multicarrier-Low Density Sequence-Multiple Access

Meylani

Andini

Saputri

et al. 2022

JNTETI

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Multicarrier low-density sequence multiple access (MC-LDSMA) merupakan salah satu tipe dari non-orthogonal multiple access (NOMA) domain kode pada sistem multicarrier. Setiap pengguna (user) pada skema akses ini memiliki kode yang tidak ortogonal satu dengan lainnya, dengan setiap pengguna hanya mengakses sejumlah dv resource dari N resource yang tersedia dan hanya terdapat dc pengguna dari total J pengguna yang mengakses resource yang sama. Sifat nonortogonal ini menyebabkan sistem MC-LDSMA memiliki overloading factor yang lebih tinggi dibandingkan sistem multicarrier ortogonal lainnya. Kondisi ini mengakibatkan MC-LDSMA menjadi salah satu teknik akses jamak yang dapat digunakan pada sistem komunikasi radio kognitif underlay, dengan sejumlah pengguna sekunder (secondary user, SU) atau unlicensed user diberikan izin untuk mengakses resource yang dimiliki oleh pengguna primer (primary user, PU) atau licensed user. Makalah ini mengusulkan algoritme alokasi resource bagi MC-LDSMA pada sistem radio kognitif underlay. Algoritme yang diusulkan bertujuan meningkatkan jumlah SU yang mengakses resource PU sekaligus menjaga faktor kualitas SU. Sistem yang dibangun terdiri atas sejumlah I pengguna PU dan J pengguna SU. Pengguna PU pada sistem diasumsikan saling ortogonal sehingga tidak saling menginterferensi satu dengan lainnya, sedangkan sejumlah J SU mengakses resource yang dimiliki PU secara bersamaan dengan menggunakan skema akses jamak MC-LDSMA. Algoritme usulan memperhatikan beberapa faktor, di antaranya parameter dc, dv, signal-to-noise ratio (SNR) target SU, dan batas toleransi interferensi yang dikehendaki oleh PU. Parameter kinerja ditunjukkan oleh outage probability (OP), throughput PU dan SU, dan rasio jumlah SU yang mendapatkan alokasi kurang dari dv resource. Hasil simulasi menyatakan bahwa semua parameter kinerja dipengaruhi oleh jumlah resource yang diakses oleh setiap pengguna, dv. SNR target SU dan batas interferensi yang ditentukan PU akan memengaruhi nilai OP, throughput rata-rata SU dan PU, serta jumlah SU yang tidak mendapatkan dv resource.

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“…The ITL will therefore be known to all SUs in the network. The actual power that the SUs will transmit will be dependent on real channel conditions and on what the SU itself is capable of transmitting . In overlay mode, the SU only transmits when the PU is not occupying the channel.…”

Section: Introductionmentioning

confidence: 99%

Optimal spectrum utilisation in cognitive radio networks based on processor sharing techniques

Tsimba

Maharaj

Alfa

2019

Int J Communication

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Cognitive radio networks have achieved higher efficiency in terms of spectrum usage; however they do not readily solve any competition for access among secondary users. Optimisation is applied to an underlay network to obtain the optimal solution for at least two secondary users operating simultaneously on the same channel. Performance measures are used as the target for optimisation. However, the objective function is difficult to obtain in closed form. For the performance measures, queueing theory, particularly weighted processor sharing techniques are employed to model the system dynamics and behaviour.Transmission power and the interference temperature limit are used to allocate weights to the secondary users. Queue length and waiting time functions obtained from the queuing models are used for optimisation. After establishing that the objective function can be considered to be pseudo-convex, convex programming is then deployed to obtain the optimised solution. The results suggest that there is indeed an improvement in network performance after optimisation. The immediate benefits of such a system are firstly improved spectrum utilisation through adding multiple secondary users and secondly, through optimisation, higher performance that can be achieved by the secondary users.

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Cooperative allocation for underlay cognitive radio systems

Cited by 9 publications

References 8 publications

Resource allocation in heterogeneous cooperative cognitive radio networks

Resource allocation in heterogeneous cooperative cognitive radio networks

Alokasi Resource bagi Multicarrier-Low Density Sequence-Multiple Access

Optimal spectrum utilisation in cognitive radio networks based on processor sharing techniques

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