Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks

Taha, Dalia H. Y.; Hacı, Hüseyin; Serener, Ali

doi:10.3390/electronics11182895

Cited by 6 publications

(3 citation statements)

References 50 publications

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“…Packet scheduler Proportional Fair prioritizes sending data to the UE with the lowest average throughput value [8]. b. Max-Throughput aims to maximize throughput in the cell by allocating Resource Blocks to the user that can receive the highest throughput or UEs that have the highest data rate value, which is an estimate of the amount of throughput that can be obtained by users [19].…”

Section: Packet Scheduling Schedulingmentioning

confidence: 99%

Comparative Analysis of Max-Throughput and Proportional Fair Scheduling Algorithms in 5G Networks

Damayanti,

Karimah,

Setyorini

2023

JoSYC

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Mobile network service use is growing, especially after the Covid-19 pandemic. To improve the quality of mobile network services, 5G comes as a network service ecosystem with low latency, which is 1ms, or about 10 times lower than 4G, making 5G able to provide more efficient access, especially in real-time network utilization. Maximum speed can be obtained by sharing limited bandwidth. The limited amount of available bandwidth causes the need for a Packet Scheduler, which aims to improve the efficiency and fairness of bandwidth usage. This research uses two packet schedulers comparing the Proportional Fair algorithm and the Max-Throughput algorithm using test scenarios for changes in the number of users and user speed. The resulting output value analyzes resource limits such as frequency, power, speed, and time in each scenario to allocate resources so that their use remains efficient with a Quality of Service that remains stable and maintained. In simulation testing using the 5G-air-simulator, the average value obtained in the delay is 1,394 ms, throughput is 0,636, and fairness index is 0,967.

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Section: Packet Scheduling Schedulingmentioning

confidence: 99%

Comparative Analysis of Max-Throughput and Proportional Fair Scheduling Algorithms in 5G Networks

Damayanti,

Karimah,

Setyorini

2023

JoSYC

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“…In the case where d SS 1 PR < d SS 2 PR , we simply change the role of SS 1 by that of SS 2 , and vice versa. Then, considering ultra-dense wireless networks [41,42] where there are a lot of nodes that are between the radio range of SS 1 and SS 2 , they can be considered the potential relays. Among these relays, we focused on the M nodes which are nearer to SS 1 than SS 2 .…”

Section: Remarkmentioning

confidence: 99%

Outage Performance of Interference Cancellation-Aided Two-Way Relaying Cognitive Network with Primary TAS/SC Communication and Secondary Partial Relay Selection

Nam

et al. 2022

Electronics

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In this paper, we propose a two-way relaying scheme using digital network coding in an underlay cognitive radio network. In the proposed scheme, the transmit antenna selection and selection techniques are combined using a primary transmitter and a primary receiver, respectively. In the secondary network, two source nodes that cannot directly communicate attempt to exchange their data with each other. As a result, the relaying technique using partial relay selection is applied to assist the data exchange. Particularly, at the first time slot, the selected secondary relay applies an interference cancellation technique to decode the data received from the secondary sources. Then, the selected relay uses digital network coding to send XOR-ed data to the sources at the second time slot. We first derive the outage probability of the primary network over block the Rayleigh fading channel. Then, the transmit power of the secondary transmitters including the source and relay nodes are calculated to guarantee the quality of service of the primary network. Finally, the exact closed-form formulas of the outage probability of the secondary sources over the block Rayleigh fading channel are derived, and then verified by computer simulations using the Monte Carlo method.

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“…By lowering the combined transmit power levels for D2D pairs and CUs while maintaining the necessary QoS for both user types, the associated base station in our proposed approach optimally distributes the uplink resources for each D2D connection. For each cellular user, we assume orthogonal frequency-division multiple access (OFDMA) for the downlink and single-carrier FDMA (SC-FDMA) for the uplink, where the uplink data is dispersed across numerous sub-carriers (Taha, Haci, & Serener, 2022). Similar to (D. Feng et al, 2013), the base station evaluates the minimum required transmit power levels for the D2D pair and any prospective CU partners before determining if admitting the D2D pair as an underlay of the cellular network would not violate either party's QoS criteria.…”

Section: Introductionmentioning

confidence: 99%

Device to Device Communication Using Optimized Frequency Spectrum Reuse (OFSR) in Multi-Layered Cellular Network

Matthew,

Aderinola,

Shuaibu

et al. 2024

JSMT

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In a cellular network, Device to Device (D2D) communication faces a number of difficulties, including interference and slow upward and downward linking between device connectivity with base stations. Utilizing optimum frequency spectrum reuse (OFSR), these two issues can be overcome. In order to prevent D2D communication devices on the Evolved Node B (eNB) and cellular user transmitters from interfering with D2D receiver, OFSR is a mechanism where the user reuses the frequency of another cell. The study looks at the problem of spectrum sharing between D2D and cellular communications in a cellular network. Under this network spectrum rationalization, D2D links may access the spectrum that a mobile network operator manages. Each D2D link has the choice of acquiring a sub-band for exclusive usage or gaining access to the sub- bands used by cellular users. Spectrum can also be shared by D2D lines that only use a particular sub-band. One to one hundred (1-100), one to two hundred (1-200), one to three hundred (1-300), and one to four hundred (1-400) users each made up a group (1-400). The system equations were used to represent the network information, such as link gains, noise levels, signal-to-interference- and-noise ratios, and the devices' selected communication mode. Simulations that incorporate D2D communication as an additional communication channel are utilized to demonstrate performance bounds for the cellular system based on the derived equations. When compared to resource allocation technique, the simulation result demonstrates that OFSR has less interference. As can be observed from the simulation results, the throughput in the down link is higher than the throughput in the uplink.

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Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks

Cited by 6 publications

References 50 publications

Comparative Analysis of Max-Throughput and Proportional Fair Scheduling Algorithms in 5G Networks

Comparative Analysis of Max-Throughput and Proportional Fair Scheduling Algorithms in 5G Networks

Outage Performance of Interference Cancellation-Aided Two-Way Relaying Cognitive Network with Primary TAS/SC Communication and Secondary Partial Relay Selection

Device to Device Communication Using Optimized Frequency Spectrum Reuse (OFSR) in Multi-Layered Cellular Network

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