Cell base station traffic prediction based on GRU

Interference Management and Traffic Adaptation of Femto Base Station based on TD-LTE

As a mainstream technology in the 4G systems, TD-LTE (Time Division-Long Term Evolution) introduces Femto nodes to improve spectral efficiency per unit area. However, inter-cell cross-slot interference and uplink/downlink configuration are the key problems in TDD (Time Division Duplexing) system. In the paper, a traffic adaptation scheme with consideration of traffic demands and interference le...

Fair Allocation of Elastic Traffic for a Wireless Base Station

Increasingly deployed cellular wireless systems can often become the bottleneck of the network so the fair allocations of the capacity of a wireless base station becomes important. We present a simple allocation mechanism which distributes the capacity of a base station in a fair manner, and show how it can simply be extended to compensate for the losses on the air interface. Using partial or f...

Base Station Design and Siting Based on Stochastic Geometry

On the base station selection and base station sharing in self-configuring networks

We model the interaction of several radio devices aiming to obtain wireless connectivity by using a set of base stations (BS) as a non-cooperative game. Each radio device aims to maximize its own spectral efficiency (SE) in two different scenarios: First, we let each player to use a unique BS (BS selection) and second, we let them to simultaneously use several BSs (BS Sharing). In both cases, w...

Network traffic prediction based on ARFIMA model

ARFIMA is a time series forecasting model, which is an improve d ARMA model, the ARFIMA model proposed in this article is d emonstrated and deduced in detail. combined with network traffi c of CERNET backbone and the ARFIMA model,the result sho ws that,compare to the ARMA model, the prediction efficiency a nd accuracy has increased significantly, and not susceptible to sa mpling.