NDLI: Capacity evaluation for LTE applications considering queue overflow

Content Provider	IET Digital Library
Author	Ali, Muntadher Alshaikh Esmailpour, Amir Marcus, James R.
Abstract	In this study, the authors evaluate the capacity by summation of granted bit rates in their proposed quality of service-aware scheduling strategy for long term evolution (LTE). To provision differentiation, the scheduling technique prioritises the queues for high priority (HP) applications against their low priority (LP) counterparts. Fairness, on the other hand, is supported by considering queue overflow of LP applications. They utilised the principles of a random variable to derive equations for the capacities offered by their method and used the token bucket technique to address the principle of the guaranteed-bit-rate for HP applications, referring to the guaranteed capacity in LTE. Experimental findings confirm that their strategy could extend the capacity granted to LP applications and simultaneously maintain the capacity condition for HP applications. The results also show relative improvement and acceptable degradation in the capacities granted to the LP and HP applications in their scheme when compared with other methods.
Starting Page	3294
Ending Page	3301
Page Count	8
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 19, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/19
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5514
Journal	IET Communications
Publisher Date	2019-08-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Capacity Condition Capacity Evaluation Granted Bit Rates Guaranteed Capacity Guaranteed-bit-rate High Priority Application HP Application Long Term Evolution Low Priority Counterparts LP Application LTE Application Mobile Radio System Quality of Service Quality of Service-aware Scheduling Strategy Queue Overflow Queueing System Queueing Theory Resource Allocation Scheduling Technique Summation Telecommunication Scheduling Token Bucket Technique
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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