Improved Performance of Mean Greedy Algorithm for Chunk Allocation in SC-FDMA Uplink Systems using Joint-User and Chunk-Based Allocation

Fahmi, Arfianto; Asvial, Muhamad; Gunawan, Dadang

doi:10.5614/itbj.ict.res.appl.2013.7.1.4

Cited by 5 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

Energy efficient resources allocations for wireless communication systems

et al. 2019

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Energy efficient resources allocations for wireless communication systems

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…As one of promising future wireless network technologies, D2D communication is expected to take resource efficiency into consideration. Two resource constraints that can be pointed out are the spectral resource (which already developed in cellular communication using methods such as Mean Greedy algorithm [4], Promethee method [5], fractional power control considerations [6], or adaptive resource allocation [7], increase the efectiveness of antenna radiation [8,9], and the energy resource in devices' battery.…”

Section: Introductionmentioning

confidence: 99%

Selective Green Device Discovery for Device-to-Device Communication

et al. 2017

Self Cite

View full text Add to dashboard Cite

The D2D communication is expected to improve devices' energy-efficiency, which has become a major requirement of the future wireless network. Before the D2D communication can be performed, the device discovery between devices must be done. The previous works usually only assumed one mode of device discovery, i.e. either use network-assisted (with network supervision) or independent (without network supervision) device. Therefore, we propose a selective device discovery for device-to-device (D2D) communication that can utilize both device discovery modes and maintain devices' energyefficiency. Different from previous works, our proposed method selects the best device discovery mode to get the best energy-efficiency. Moreover, to further improve the energy-efficiency, our proposed method also deployed in D2D cluster with multiple cluster heads. The proposed method selects the most suitable mode using thresholds (cluster energy consumption and new device acceptance) and cluster energy expectation. Our experiment result indicates that the proposed method provides lowest energy consumption per new accepted device while compared with schemes with full network-assisted and independent device discovery in low numbers of new device arrival (for the number of new devices arrival = 1 ~ 3).

show abstract

A Chunk-Based Scheduling Algorithm Considering User Satisfaction for SC-FDMA Transmission

Liu

2016

Wireless Pers Commun

View full text Add to dashboard Cite

Improved Performance of Mean Greedy Algorithm for Chunk Allocation in SC-FDMA Uplink Systems using Joint-User and Chunk-Based Allocation

Cited by 5 publications

References 26 publications

Energy efficient resources allocations for wireless communication systems

Energy efficient resources allocations for wireless communication systems

Selective Green Device Discovery for Device-to-Device Communication

A Chunk-Based Scheduling Algorithm Considering User Satisfaction for SC-FDMA Transmission

Contact Info

Product

Resources

About