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Conventional planning and optimization of cellular networks for supporting the peak-time user demand leads to substantial wastage of electrical energy. Therefore, we propose an energy-aware dynamic network provisioning framework for realizing green mobile cellular systems by reducing energy consumption in access networks. Proposed mechanism allows base stations (BSs) to offload their entire traffic...
This paper presents the results for a combined Coordinated MultiPoint (CoMP) and Dynamic Sectorization (DS) approach for energy saving at the Base Station (BS) in LTE-A cellular networks. The DS scheme is based on ecological self-organization where BSs are dynamically reconfigured based on their tempo-spatial traffic diversity. The compatibility of CoMP and DS is explored and improved upon independent...
In this paper we introduce a novel analytic approach in clustering wireless nodes on ground fields through the assistance of an aerial base station, forming an aerial backhauled network. On the ground, some of the deployed nodes act as cluster heads, and aggregate and relay the terrestrial data towards the aerial platform. We present a novel cluster-head selection algorithm based on Matern hard-core...
Energy efficiency is one of the central concerns for future cellular networks, which could be accomplished by adaptively reconfiguring the networks with the changing traffic environment. In this paper, we propose and analyze a dynamic sectorization scheme of evolved node Bs (eNBs) in long term evolution (LTE) systems for saving energy at radio access network (RAN) level. Under the proposal, based...
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