Abstract
In high-density indoor environments (e.g., airports or malls), it is expected an increase in data demand, in the number of applications having stringent Quality-of-Service requirements, and in the number of services among nearby users, such as video sharing or gaming. In order to satisfy these requirements, we adopt D2D communications, 60 GHz band transmissions, and adaptive beamforming techniques. The symbiosis of these technologies provides notable energy saving, high data rate, and strong interference reduction. Despite these benefits, a major issue is the limited communication range, due to the high path loss. To overcome this issue, we consider a Millimeter-Wave Mobile Broadband (MMB) system, consisting of several Access Points interconnected among themselves through a wireless backhaul network. Based on the specific features of the technologies adopted for the considered MMB system, we aim to improve the transmission efficiency, by exploiting concurrent transmissions. Therefore, we propose a new centralized access control scheme which jointly manages D2D communications and transmissions in the access and the backhaul network. Our control strategy aims to maximize the system throughput, to minimize the end-to-end delay, and to improve the fairness among users, while taking into account to keep the computational load as low as possible. To meet these goals, our proposed access control scheme is composed of a data flow management strategy and a multi-criteria scheduling algorithm based on greedy graph vertex-coloring techniques.
Highlights
Every year the amount of traffic in cellular networks increases because of the massive popularity of smartphones, tablets, smartwatches and new smart mobile devices representing a key feature for our life
We propose a new centralized access control scheme composed of a data flow management strategy and a multi-criteria scheduling algorithm based on a greedy graph vertex-coloring technique
In order to fairly assess the two control schemes, we adapt D3MAC scheme to our more accurate approach in which the transmission rates are variable according to the interference level
Summary
Every year the amount of traffic in cellular networks increases because of the massive popularity of smartphones, tablets, smartwatches and new smart mobile devices representing a key feature for our life. We aim to enhance the transmission efficiency, by exploiting concurrent transmissions, to maximize the throughput, to minimize the end-to-end delay, and to improve the fairness among users, while taking into account to keep the computational load as low as possible To this end, we propose a new centralized access control scheme composed of a data flow management strategy and a multi-criteria scheduling algorithm based on a greedy graph vertex-coloring technique.
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