Interference Limit based Resource Allocation for Low Density Signature OFDM in Underlay Cognitive Radio Networks

Meylani, Linda; Kurniawan, Adit; Arifianto, Mohammad Sigit

doi:10.1109/tencon.2018.8650061

Cited by 3 publications

(8 citation statements)

References 10 publications

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“…Our simulation results in Figure 5 and Figure 6 compared the performance of our proposed ILRA-FM algorithm with the previous work ILRA in [15]. In these figures, it can be seen that the ILRA-FM algorithm had lower outage probability and a higher fairness metric and higher throughput fairness index compared to the previous works.…”

Section: Discussionmentioning

confidence: 82%

“…Figure 5 shows the outage probability, the number of SUs that obtained the resource allocation of less than dv subcarriers, the fairness metric, and the throughput fairness index for the ILRA algorithm and the ILRA-FM algorithm Types 1 and 2 with all algorithms setting the same value of dv and dc. Figure 5a shows that the proposed algorithm (ILRA-FM-1 and ILRA-FM-2) had lower outage probability than the ILRA algorithm as proposed in [15]. The addition of the sorting parameter d1 in the ILRA-FM algorithm caused the algorithm to ensure that each SU acquired dv subcarriers by searching for alternative subcarriers accessible for the SU when the selected subcarriers based on SINR did not fulfill the constraint in (7).…”

Section: Resultsmentioning

confidence: 99%

“…The use of the fairness metric is intended to increase the fairness of allocating dv subcarriers to each user. A difference from the previous work in [15] is related to the exertion of the dc parameter not only as a limiting parameter, but also as a parameter to find an available subcarrier.…”

Section: Introductionmentioning

confidence: 85%

“…Reference [15] already allocated LDS-OFDM users based on the interference limit; we name it as the interference limit-based resource allocation algorithm (ILRA). ILRA allocates a number of resources for each SU based on a lower interference value or a higher SINR in each subcarrier.…”

Section: Materials and Methodsmentioning

confidence: 99%

“…A CR network in reference [14] was developed by combination of two schemes of DSA, i.e, interweave and underlay. Reference [15] proposed the resource allocation algorithm for LDS-OFDM users based on the interference limit as defined by each PU, while [16] proposed robust resource allocation for the SU based on a graph model. Channel selection in the cognitive radio ad hoc sensor network (CRASN) has been proposed by [17].…”

Section: Introductionmentioning

confidence: 99%

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Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks

Meylani

Kurniawan

Arifianto

2019

Sensors

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Low density signature orthogonal frequency division multiplexing (LDS-OFDM), one type of non-orthogonal multiple access (NOMA), is a special case of multi-carrier code division multiple access (MC-CDMA). In LDS-OFDM, each user is allowed to spread its symbols in a small set of subcarriers, and there is only a small group of users that are permitted to share the same subcarrier. In this paper, we study the resource allocation for LDS-OFDM as the multiple access model in cognitive radio networks. In our scheme, SUs are allocated to certain d v subcarriers based on minimum interference or higher SINR in each subcarrier. To overcome the problem where SUs were allocated less than the d v subcarriers, we propose interference limit-based resource allocation with the fairness metric (ILRA-FM). Simulation results show that, compared to the ILRA algorithm, the ILRA-FM algorithm has a lower outage probability and higher fairness metric value and also a higher throughput fairness index.

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Section: Discussionmentioning

confidence: 82%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 85%

Section: Materials and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks

Meylani

Kurniawan

Arifianto

2019

Sensors

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Power Allocation for Group LDS-OFDM in Underlay Cognitive Radio

Meylani

Hidayat

Kurniawan

et al. 2019

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)

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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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Interference Limit based Resource Allocation for Low Density Signature OFDM in Underlay Cognitive Radio Networks

Cited by 3 publications

References 10 publications

Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks

Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks

Power Allocation for Group LDS-OFDM in Underlay Cognitive Radio

Alokasi Resource bagi Multicarrier-Low Density Sequence-Multiple Access

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