NDLI: Bounds on achievable degrees of freedom in blind cellular networks

Content Provider	IET Digital Library
Author	Ghiamatyoun, Alireza Olfat, Ali
Abstract	Cellular networks are of particular interest when communication takes place. The main barrier of employing cellular networks to reach broad access everywhere is interference. Although interference alignment has by theory raised hopes to leap this last hurdle, however, no operator will show interest for practical implementation of the complicated algorithms proposed so far, especially considering the need for global channel knowledge. Besides, there is no measure to appraise the performance of existing algorithms. In this study, the authors study blind cellular networks to characterise their achievable degrees of freedom. As it is very hard – if not impossible – to obtain its exact value, they provide related upper and lower bounds for this special scenario when power control mechanism is applied in the network. They also propose constructive proof for the lower bound and offer their seminal blind resource allocation algorithm in which they utilise concepts of both frequency alignment and fractional frequency reuse. Analytical upper bounds are also proposed and proved to be tight with respect to simulated results.
Starting Page	2034
Ending Page	2042
Page Count	9
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 15, Oct (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0045
Journal	IET Communications
Publisher Date	2016-10-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Achievable Degrees of Freedom Blind Cellular Network Cellular Radio Fractional Frequency Reuse Frequency Alignment Frequency Allocation Global Channel Knowledge Interference Alignment Mobile Radio System Power Control Mechanism Radio Frequency Interference Resource Allocation Seminal Blind Resource Allocation Algorithm
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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