A Combined User-order and Chunk-order Algorithm to Minimize The Average BER for Chunk Allocation in SC-FDMA Systems

Fahmi, Arfianto; Astuti, Rina Pudji; Meylani, Linda; Asvial, Muhamad; Gunawan, Dadang

doi:10.12928/telkomnika.v14i2.3299

Cited by 2 publications

(2 citation statements)

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“…At first, the UCG method will be performed to divide the users to several groups, depends on each user location on cell. Then, the MG algorithm on [9] and [13] will be performed with Equal Power Allocation (EPA) scheme. After all resources are allocated to a specific user, IWF power control will be take place in order to manage the power that being used by each resource/chunk.…”

Section: The Proposed Algorithmmentioning

confidence: 99%

“…Work [10] tries to improve the RMS by using QoS provisioning. The modified greedy algorithm also tried on uplink side in [11][12][13]. Work [14] tries RMS on LTE-A downlink system with CA scheme, works [15,16] proved that the CA scheme makes the proportional fair algorithm not optimal because there are some problem caused by CA and its different fading on each component carrier.…”

Section: Introductionmentioning

confidence: 99%

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Energy efficient resources allocations for wireless communication systems

et al. 2019

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The energy consumption level of the telecommunication process has become a new consideration in resource management scheme. It is becoming a new parameter in the resource management scheme besides throughput, spectral efficiency, and fairness. This work proposes a power control scheme and user grouping method to keep the rational energy consumption level of the resource management scheme. Inverse water-filling power allocation is a power allocation scheme that optimizes the energy efficiency by giving the power to the user which have good channel conditions. The user grouping method becomes the solution for carrier aggregation (CA) scheme that prevents edge cell user get the resources from the high-frequency carrier. This can prevent energy wastage in the transmission process. This power control scheme and user grouping method can optimize the spectral and energy efficiency without increasing the time complexity of the system.

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Section: The Proposed Algorithmmentioning

confidence: 99%