Reduction of PAPR using Huffman Coding and APSK Modulation Technique for F-OFDMA in 5G System

Idris, Azlina; Fauzi, Alya Balqis Binti Mohd; Idris, Mohd Syarhan; Taib, Idris; Kassim, Murizah; Rahman, Ruhani Binti Ab

doi:10.1109/icsengt.2018.8606392

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Huffrith algorithm is combination between Arithmetic and Huffman equations. This is contribution of previous research [19] where by combining both will compliment with each other. The Huffrith algorithm expressed as below.…”

Section: Huffrith Algorithmmentioning

confidence: 71%

Huffrith Algorithm with Quasi Cyclic Low Density Parity Check in NOMA Systems

Nur Asfarina Idrus,

Azlina Idris,

Nur Idora Abdul Razak

et al. 2024

ARASET

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In this paper, the high-rate Quasi-Cyclic Low-Density Parity -Check (QC-LDPC) as an error correction code is contributed for Non-orthogonal Multiple Access (NOMA) systems with high-frequency spectrum efficiency. High PAPR will affect the signal degradation and all the methods applied in the NOMA system are solving the problem of scarce time or frequency domain resources. The objectives of this paper are achieved by reducing the PAPR using Huffrith algorithms with QC-LDPC in the NOMA system. Huffrith algorithm combined with QC-LDPC to reduce the peak-to-peak average ratio in the 6G network. This method simulates using the 512 APSK modulation technique. The results were obtained by differentiating the contribution method with four types of coding techniques, which are an original data signal, Huffman, Huffrith, and Arithmetic algorithms. Besides, also differentiate three scenarios without error correction codes, LDPC codes, and QC-LDPC codes to compare which is better and more suitable using the NOMA system. Compared with different multiple access shows results that NOMA systems get highest percentage of improvement is 16.95% and 9.8 dB. Next results, seems QC-LDPC is better by getting the highest percentage of improvement is 22.31% and 9.40 dB compare with others.

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Section: Huffrith Algorithmmentioning

confidence: 71%

Huffrith Algorithm with Quasi Cyclic Low Density Parity Check in NOMA Systems

Nur Asfarina Idrus,

Azlina Idris,

Nur Idora Abdul Razak

et al. 2024

ARASET

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“…Traditional TDMA has synchronization problems that are resolved by using the Markov chain concept. Different Multiple access techniques in 6G have taken into consideration to enhance the allocation for the resources as mentioned in [10].The previous research papers argues as example in [11] has focused mainly on enhancing spectral efficiency and system capacity, rather than on transmitted power savings and resource allocation based on energy efficiency for D2D multicast clusters. The proposed scheme takes into account the physical distance of users, as well as their available stored energy, in its batteries when forming Device-to-Multi-Device (D2MD) clusters.…”

Section: Introductionmentioning

confidence: 99%

“…Clustering divides network nodes with similar interests or behaviours into smaller group clusters. This technique has been extensively studied in access networks to accommodate mobile user equipment (UE) and assist in routing, throughput optimization, resource distribution fairness, load balancing, and the overall lifetime of a cluster or network as in previous research [9,10]. In [15][16][17][18], various clustering algorithms and resource allocation strategies have been proposed.…”

Section: Introductionmentioning

confidence: 99%

D2D Matching Techniques for Resource Allocation Management and Power Control Management in B5G/6G

Mai Elshreay,

Eman Serag,

Hussien M. Elattar

et al. 2024

ARASET

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The upcoming 6G network is expected to have a great integration of Device-to-Device (D2D) technology. One of the key advantages of D2D technology is its potential to minimize the load on cellular base stations, which can help extend the lifespan of cellular network infrastructure. D2D multicast communication can meet the growing demand for multimedia content in local area services by maximizing energy efficiency and device lifespan by reusing the same resources for the cellular network. In this paper, we investigate an efficient resource allocation scheme by using the One-To-Many Gale Shapley pairing algorithm (GSA) for efficient allocation and power optimization. We propose a joint optimization approach for D2MD clusters that considers the Signal-to-Interference Noise ratio and energy levels of devices' batteries. The problem is optimized, so it is divided into two convex sub-problems. In the first sub-problem, power allocation is performed for each candidate cluster-head (CH)and cellular user to maximize energy efficiency using the Dinkelbach matching algorithm. In the second sub-problem, the One-to-Many Gale Shapley matching algorithm is used to optimize resource allocation and cluster-head selection to select the Cluster Nodes (CRns) to form the cluster. Numerous investigations show that the suggested technique maintains QoS and minimal battery power requirements while increasing cluster-head longevity and energy efficiency (EE) in D2D applications.

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