NDLI: Vector quantization based QoS evaluation in cognitive radio networks

Content Provider	Springer Nature Link
Author	Al Tameemi, Osama Chatterjee, Mainak Kwiat, Kevin
Copyright Year	2015
Abstract	In this paper, we characterize the QoS that secondary users can expect in a cognitive radio network in the presence of primaries. To that end, we first define a $$K$$ -dimensional QoS space where each point in that space characterizes the expected QoS. We show how the operating condition of the system maps to a point in the QoS space, the quality of which is given by the corresponding QoS index. To deal with the real-valued QoS space, we use vector quantization to partition the space into finite number of regions each of which is represented by one QoS index. We argue that any operating condition of the system can be mapped to one of the pre-computed QoS indices using a simple look-up in $$O(log\,N)$$ time—thus avoiding any cumbersome computation for QoS evaluation. The proposed technique takes the power vector as its input from the power control unit which we consider as a black box. Using simulations, we illustrate how a $$K$$ -dimensional QoS space can be constructed. We choose capacity as the QoS metrics and show what the expected capacity would be for a given power vector. We also show the effect of having large number of partitions on the distortion. As for the implementation feasibility of the proposed concept, we implement the QoS space on an 8-bit microcontroller and show how the mathematically intensive operations can be computed in a short time. Further we use binary search to achieve scalability as the dimensionality of the space increases.
Starting Page	1899
Ending Page	1911
Page Count	13
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	21
Issue Number	6
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2015-01-20
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cognitive radio network Quality of service Capacity Communications Engineering, Networks Computer Communication Networks Electrical Engineering IT in Business
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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