Combined-order Algorithm using Promethee Method Approach and Analytic Hierarchy Decision for Chunk Allocation in LTE Uplink Systems

The problem of chunk-based resource allocation for the uplink of Long Term Evolution is investigated. In this paper, a combined order using the promethee method and analytic hierarchy decision for chunk allocation algorithm is proposed. The utility of each order is sorted based on promethee method approach so that the utility of each order could be approximated as the average of all criteria on each order. To decide the best allocation, analytic hierarchy process score is assigned to its order based on their decision criteria weighting factor to find the best allocation. Using a particular weighting factor, the proposed algorithms outperform the previous mean greedy algorithms which use user-order allocation in term of spectral efficiency and data rate fairness without increase the time complexity. It also outperform iterative swapping chunk algorithm in term of  data rate fairness

PERENCANAAN JARINGAN TD-LTE ADVANCED DENGAN SKEMA CARRIER AGGREGATION INTRA-BAND CONTIGUOUS STUDI KASUS KOTA BANDUNG

Carrier aggregation merupakan salah satu solusi yang dapat digunakan untuk meningkatkan bandwidth karena dengan metode carrier aggregation beberapa frekuensi berbeda yang memiliki bandwidth yang kecil dapat di agregasi sehingga akan mendapatkan bandwidth yang lebih lebar, jadi tujuan utama dari penerapan metode carrier aggregation adalah peningkatan pada nilai throughput. Pada perencanaan ini juga menerapkan metode time division duplexing (TDD), karena duplexing menggunakan metode TDD memiliki keuntungan untuk menangani layanan berbasi data yang mayoritas bersifat Non-Guarantee Bit Rate (N-GBR) karena pada layanan ini tidak memerlukan bit rate minimum untuk dapat bekerja. Pada simulasi ini menggunakan frekuensi 2300 MHz sebagai frekuensi TD-LTE Advanced dan parameter yang menjadi fokus utama adalah throughput, reference signal received power (RSRP), reference signal strength indicator (RSSI), carrier to interference noise ratio (CINR), dan block error rate (BLER). Hasil dari simulasi menunjukan bahwa nilai rata-rata throughput sebesar 10,3 Mbps, nilai rata-rata RSRP sebesar -113,69 dBm, nilai rata-rata RSSI sebesar -72,13 dBm, nilai rata-rata CINR sebesar 3,91 dB, dan nilai rata-rata BLER sebesar 0,08%

Perfomance Comparison of Genetic and Greedy Algorithms in Underlay Device-to-Device Communication

The number of cellular users (CU) continues to increase in Indonesia. This impacts a large network load for the number of devices connected to the main network so it will have an impact on the quality of service. Device-to-Device (D2D) communication as components for LTE-A technology enabling a direct wireless link between the CUs without routing the data via the evolved Node B (eNB) signal or the core network. The need for algorithm and power control used to allocate radio resources so it can get a good quality of service because of communications technology D2D. In this study, we analyze and compare the performance parameters of D2D communication systems, including system interference, system sum-rate, system spectral efficiency, total energy system, and system energy efficiency based on Genetic and Greedy Algorithms in allocating radio resources and controlling the power of users. The genetic algorithm works with three operators in allocating resource block (RB), including proportional selection, crossover, and mutation. This process is repeated many times to produce several generations so that the best allocation can be got. The genetic algorithm has a flexible number of D2D and cellular communications in several RBs, minimum signal to interference plus noise ratio (SINR) also considered for mobile communication in ensuring the quality of its services. Numerical evaluations demonstrate the superior performance of the Genetic Algorithm in terms of system power, energy efficiency, and interference mitigation. As repetition gets larger, the Genetic algorithm results in better spectral efficiency

Simulasi Sistem Ds-cdma dengan Berbagai Kode Penebar

In DS-CDMA, a number of users are able to use the same frequency bandwidth in the same time. Each user's canal is differentiated by a unique code (spread code) used to spread the power of information signal into bandwidth wider the information signal bandwidth. But, the thing commonly happen is that there is correlation between spreader codes used, so users will interference each other. This is very much obtained by the orthogonal levels of spreader code used.In this final paper, a study on comparison of the system performance will be done by using different spreader code. Codes that are used in this study are PN-sequence, Walsh code, Zadoff-Chu code and Golay code. And then, the system performance will also compared when some variables are changed, e.g. on how the system performance correction (BER) when variety and length of code are changed.From the simulation of system performance in the canal condition of AWGN and Rayleigh, the target of BER in voice service of 10-3 is reached in the SNR range of 5-10 dB for Walsh and Golay; PN and Zadoff can not reach BER target. In the worst condition when the canal is in selective condition, Golay code still better than the other codes. System capacity is so much determined by length of spreader code. When the amount of active user approaches length of used spreader code, the system performance will be in saturation point

SIMULASI SISTEM DS-CDMA DENGAN BERBAGAI KODE PENEBAR

In DS-CDMA, a number of users are able to use the same frequency bandwidth in the same time. Each user’s canal is differentiated by a unique code (spread code) used to spread the power of information signal into bandwidth wider the information signal bandwidth. But, the thing commonly happen is that there is correlation between spreader codes used, so users will interference each other. This is very much obtained by the orthogonal levels of spreader code used.In this final paper, a study on comparison of the system performance will be done by using different spreader code. Codes that are used in this study are PN-sequence, Walsh code, Zadoff-Chu code and Golay code. And then, the system performance will also compared when some variables are changed, e.g. on how the system performance correction (BER) when variety and length of code are changed.From the simulation of system performance in the canal condition of AWGN and Rayleigh, the target of BER in voice service of 10-3 is reached in the SNR range of 5-10 dB for Walsh and Golay; PN and Zadoff can not reach BER target. In the worst condition when the canal is in selective condition, Golay code still better than the other codes. System capacity is so much determined by length of spreader code. When the amount of active user approaches length of used spreader code, the system performance will be in saturation point

SIMULASI SISTEM DS-CDMA DENGAN BERBAGAI KODE PENEBAR

In DS-CDMA, a number of users are able to use the same frequency bandwidth in the same time. Each user’s canal is differentiated by a unique code (spread code) used to spread the power of information signal into bandwidth wider the information signal bandwidth. But, the thing commonly happen is that there is correlation between spreader codes used, so users will interference each other. This is very much obtained by the orthogonal levels of spreader code used. In this final paper, a study on comparison of the system performance will be done by using different spreader code. Codes that are used in this study are PN-sequence, Walsh code, Zadoff-Chu code and Golay code. And then, the system performance will also compared when some variables are changed, e.g. on how the system performance correction (BER) when variety and length of code are changed. From the simulation of system performance in the canal condition of AWGN and Rayleigh, the target of BER in voice service of 10-3 is reached in the SNR range of 5-10 dB for Walsh and Golay; PN and Zadoff can not reach BER target. In the worst condition when the canal is in selective condition, Golay code still better than the other codes. System capacity is so much determined by length of spreader code. When the amount of active user approaches length of used spreader code, the system performance will be in saturation point

Pengaruh Penggunaan Skema Pengalokasian Daya Waterfilling Berbasis Algoritma Greedy Terhadap Perubahan Efisiensi Spektral Sistem pada jaringan LTE

Pada paper ini akan dibahas pengalokasian daya pada sistem pembagian beberapa frekuensi secara ortogonal (OFDMA). Tanpa menggunakan skema pengalokasian daya maka daya yang dialokasikan kepada pengguna tidak akan effisien, sehingga diusulkan penambahan skema pengalokasian daya pada proses alokasi sumber daya kepada pengguna. Pada proses pengalokasian resources block diusulkan menggunakan algoritma greedy yang memiliki kompleksitas yang rendah dan pengalokasian daya menggunakan skema waterfilling. Langkah pertama adalah pengalokasian kanal dengan algoritma greedy yaitu dengan memilih resources block (RB) yang memiliki nilai informasi kanal (CSI) tertinggi dan didapatkan skema equal power allocation (EPA). Selanjutnya akan dilakukan pengalokasian daya dengan skema waterfilling, skema tersebut mengalokasikan daya lebih besar kepada pengguna yang memiliki kualitas kanal yang buruk sehingga pengguna bisa melakukan komunikasi secara baik. Dari hasil simulasi didapatkan penurunan nilai efisiensi spektral sistem sebesar 0.2128 bps/Hz - 0.2147 bps/Hz jika menggunakan skema waterfilling dibanding pengalokasian daya skema equal power allocation. Maka dari itu skema yang diusulkan bisa diimplementasikan pada jaringan LTE

Performansi Pengalokasian Sumber Daya LTE Menggunakan Skema Equal Power AllocationBerbasis Algoritma Proportional Fair Pada Sistem MIMO-OFDMA 2x2

Long Term Evolution merupakan teknologi komunikasi bergerak generasi ke-empat yang dirilis oleh 3GPPP (Third Generation Partnership Project).Teknologi ini menjanjikan kecepatan layanan informasi yang jauh lebih cepat dari teknologi sebelumnya, sehingga banyak pengguna dan operator telekomunikasi beralih ke teknologi ini.Teknologi ini tentu saja memerlukan suatu sistem yang efisien dan efektif.Salah satu subsistem yang dapat dioptimalkan adalah pada sisi pengalokasian sumber daya kepada pengguna layanan.Oleh sebab itu dibutuhkan suatu skema pengalokasian yang dapat meningkatkan performansi jaringan LTE.Paper ini berfokus pada pengalokasian sumber daya pada LTE arah downlink. Sumber daya LTE yang dialokasikan adalah resource block(RB) dan daya. Resource blockdialokasikan dengan algoritma proportional fair, sedangkan daya dialokasikan dengan equal power allocation. Adapun parameter performansi yang di analisis pada Paper ini adalahthroughput pengguna dan fairness.Penelitian dilakukan pada sistem antena MIMO(Multiple Input Multiple Output) 2x2.Simulasi dilakukan dengan mengalokasikan dayaterlebih dahulu kemudian dilakukan pengalokasian resource block (RB). Pada simulasi, skema yang diusulkan memiliki nilai throughputpengguna danfairnessyang lebih tinggi pada saat jumlah resource block lebih besar dari jumlah pengguna. Skenario perubahan jumlah pengguna dan jarak, masing-masing didapatkan penurunan rata-rata untuk throughput pengguna sebesar 188962.2 bps dan 2589.6 bps sedangkan untuk fairnesssebesar 3.94 % dan 0.007 %. Pada skenario perubahan jumlah RB, didapatkan kenaikan throughput pengguna sebesar 36537,53 bps dan fairnesssebesar 4,98 %