Cooperative non-orthogonal multiple access for wireless communication networks by exploiting the EXIT chart analysis

In the next generation of mobile communication networks, unprecedented challenges are required to be met, such as much higher data rates and spectrum efficiency, lower latency, and massive connectivity. Non-orthogonal multiple access (NOMA) has recently been proposed as a promising technology to achieve much superior spectral efficiency compared to conventional orthogonal multiple access techniques employed in present communication systems. A salient feature of NOMA is its use of successive interference cancellation (SIC) to decode users’ information when multiple users are allowed to transmit in same time/frequency/code domain. In this paper, we aim to exploit an aspect of SIC, namely the availability of other users’ data to realize a cooperative NOMA system. EXtrinsic information transfer (EXIT) charts are utilized to examine the performance of proposed system in terms of user fairness while employing IRregular convolutional codes (IRCC)s. The EXIT chart using IRCC evaluates the convergence analysis for the proposed system. Further, to evaluate the system performances in cooperative NOMA system, we have derived the expressions for the achievable rates which are obtained independently and utilized them in evaluating the experimental data for the proposed NOMA model.

Proyeksi EXIT Chart untuk Memprioritaskan Data Komunikasi Manusia pada Jaringan Super Padat

ABSTRAKPenelitian ini dilakukan untuk menguji jaringan masa depan dengan melibatkan ribuan mesin. Teknik Coded Random Access (CRA) akan dijadikan bagian penting pada teknologi komunikasi seluler generasi ke-5 (5G) tahun 2020 yang diprediksi data komunikasi manusia bercampur dengan mesin. CRA pada penelitian ini dipandang sebagai skema multiple access terbaru yang memanfaatkan coding (repetition dan MDS codes), penelitian ini berdasarkan repetition codes untuk mendesain sub-optimal degree distribution pada grup manusia dan mesin. Kinerja sistem dievaluasi menggunakan parameter proyeksi Extrinstric Information Transfer (EXIT) chart, throughput, dan packet-loss rate (PLR). Sub-optimal degree distribusi untuk grup manusia 𝛬􀯁􁈺𝑥􁈻􀵌0,3𝑥􀬷􀵅0,70,4𝑥􀬸. Throughput grup manusia tanpa fading 𝑇􀯛 􀵌𝑥0􀬼,,7 7g5ru ppa kmeet/ssinlo t 𝛬d􀯆e􁈺n𝑥g􁈻a􀵌n 0fa,6d𝑥i􀬶ng􀵅 𝑇􀯛 􀵌0,736 paket/slot dan grup mesin tanpa fading 𝑇􀯠􀵌0,669 paket/slot dengan fading 𝑇􀯠 􀵌0,646 paket/slot. Kontribusi penelitian ini sangat signifikan karena data pada komunikasi manusia dapat diprioritaskan yand dilihat dari kinerja deteksi paket yang diterima tanpa error (throughput) pada grup manusia lebih tinggi dibanding mesin.Kata kunci: Repetition codes , EXIT Chart, Degree Distribusi, Manusia, Mesin. ABSTRACTThis research considers future super-dense networks. Coded Random Access (CRA) technique is ecxpected to be important in fifth generation (5G) celullar communication in 2020 predicted that human data communication are mixed with machines. CRA as a new multiple accesss sheme which exploiting coding (repetition and MDS codes), this research is based on repetition codes for design sub-optimal degree distribution for human and machines groups. The performance of prioritized are evaluated based on parameters, e.g., projection Extrinsic Information (EXIT) chart, throughput, and packet-loss rate (PLR). Sub optimal degree distribution human 𝛬􀯁􁈺𝑥􁈻􀵌0,3𝑥􀬷􀵅0,7, machines 𝛬􀯆􁈺𝑥􁈻􀵌0,6𝑥􀬶􀵅0,4𝑥􀬸. Throughput human without fading 𝑇􀯛􀵌0,775 packet/slot with fading 𝑇􀯛 􀵌0,736 p0a,6c4k6e tp/aslcokte at/nsdlo tm. aTchhei nceo nwtirtihbouutito nfa odfi ntgh is𝑇 􀯠res􀵌ea0r,6ch6 9i sp saicgkneifti/csalontt wbeitcha ufased inthge 𝑇d􀯠at􀵌a on human communication can be prioritized as seen from the performance of correctly received packets (throughput) in the human group is higger than machines.Keywords: Repetition Codes, EXIT Chart, Degree Distribution, Human, Machines.

Sub-Optimal Degree Distribution untuk Prioritas Komunikasi Manusia menggunakan Proyeksi EXIT Chart pada Jaringan Masa Depan

ABSTRAKPada jaringan masa depan melibatkan komunikasi antara mesin dan manusia. Penelitian ini mengusulkan konsep coding dalam jaringan menggunakan Maximum Distance Separable (MDS) codes. Desain sub-optimal degree distribution untuk memprioritaskan manusia menggunakan proyeksi EXIT Chart. Pada penelitian ini dasar dari skema multiple akses untuk jaringan super-padat menggunakan Coded Random Access (CRA). Usulan model jaringan menggunakan Binary Erasure Channel (BEC). Evaluasi performansi untuk grup manusia dan mesin diukur berdasarkan throughput dan packet-loss-rate dan hasilnya juga dibuktikan menggunakan frequency-flat Rayleigh fading. Sub-optimal degree distribusi yang diusulkan ℎ􁈺𝑥􁈻􀵌􁈼􁉀􀵫8,2􀵯,1􁉁􁈽 dan Λ 􀯠􁈺𝑥􁈻􀵌􁈼􁉀􀵫3,2􀵯,0.2􁈻,􁈺􀵫4,2􀵯,0.8􁈻􁉁􁈽 dengan hasil throughput sebelum fading Th 􀵌0.35 paket/slot dan Tm 􀵌0.32 paket/slot, sedangkan setelah fading Th 􀵌0.34 paket/slot dan Tm 􀵌0.22 paket/slot.Kata kunci : MDS codes, CRA, human, machines, EXIT chart ABSTRACTFuture wireless network involving machines and human communications.This research proposed new concept of network coding based on Maximum Distance Separable (MDS) codes. Designed optimally sub-optimal degree distribution for prioritizing human using projected EXIT chart. This research fundamental multiple access scheme for wireless super-dense network using Coded Random Access (CRA). In this research, proposed scheme under Binary Erasure Channel (BEC) to model a network. We evaluate the performance for human and machines group in terms of throughput and packet-loss-rate, and the result are then verified using frequency-flat Rayleigh fading. We have proposed sub-optimal degree distributions are Λ ℎ􁈺𝑥􁈻􀵌􁈼􁉀􀵫8,2􀵯,1􁉁􁈽 and Λ 􀯠􁈺𝑥􁈻􀵌􁉄􁉀􀵫3,2􀵯,0.2􁈻,􁈺􀵫4,2􀵯,0.8􁈻􁉁􁉅, the resulting throughput Th 􀵌0.35 packet/slot and Tm 􀵌0.32 packet/slot under fading and without fading Th 􀵌0.34 packet/slot and Tm 􀵌0.22 packet/slot.Keywords: MDS codes, CRA, human, machines, EXIT chart

Convergence analysis of the unpunctured turbo trellis-coded modulation (UTTCM)

In this paper, the performance of the Unpunctured Turbo Trellis-Coded Modulation (UTTCM) over Additive White Gaussian Noise (AWGN) channel is analyzed using the non-binary extrinsic information transfer (EXIT) chart. The exchange of the extrinsic information between the decoder components is tracked, allowing the generation of an EXIT chart, which is a powerful tool for analyzing the convergence behavior of iterative decoding and prediction of convergence position. The Simulation results are compared with the turbo cliff positions on the BER curves.