Abstract
A coexistence decision-making (CDM) system for efficient TV whitespace (TVWS) sharing among whitespace objects (WSOs) is introduced in this paper. The proposed system is considered versatile in functionality as it jointly takes care of three distinct channel allocation features: (a) optimizing system quality of service (QoS) performance metrics, (b) improving TVWS utility, and (c) satisfying WSO channel demands. Regarding system QoS performance metrics, the TVWS sharing problem is defined as an optimization problem with an aim to maximize the system throughput and minimize unfairness in allocation. Supporting the WSOs channel demands in a TVWS sharing problem is a multifold task which requires elaborate consideration in different aspects of the system performance. To this end, the variations of the SNR of wireless frequency channels which result in variable throughput gain of the WSOs are also taken care of in the proposed CDM system. A fast channel allocation algorithm is then designed that implements the TVWS sharing mechanism in a reasonable amount of time. Additionally, the proposed algorithm improves the TVWS utility by promoting a novel frequency reuse method by exploiting the inter-WSO interference information. Simulation results show the superiority of the proposed algorithm over existing TVWS sharing algorithms.
Highlights
An unprecedented increase in the deployment of content delivery networks (CDNs) has resulted in the rapid growth of IP traffic
It is anticipated that by 2019 nearly two-thirds of global IP traffic will originate from non-PC devices, mainly portable and mobile devices [1]
The Species Competition based HEterogeneous networks coexistence MEchanism (SCHEME) requires the number of channels to be larger than the number of coexisting networks. Such condition cannot be fulfilled in highly congested urban areas where a limited number of TV channels is available for unlicensed use. We have addressed this issue in the channel allocation mechanism defined in this paper
Summary
An unprecedented increase in the deployment of content delivery networks (CDNs) has resulted in the rapid growth of IP traffic. By the end of 2016, global IP traffic exceeded 1 zettabytes (1021 bytes) per year, of which 62% is attributed to CDNs [1]. It is anticipated that by 2019 nearly two-thirds of global IP traffic will originate from non-PC devices, mainly portable and mobile devices [1]. Currently available wireless spectrum is considered insufficient for accommodating such large volumes of data. Owing to its low loss and excellent propagation characteristics, the TV spectrum is considered a promising candidate for supporting the growing traffic over wireless channels. Considering the growing demand of the wireless spectrum, the regulatory bodies worldwide [3,4,5]
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