A Novel Interference Alignment (IA) Method for Improving the Sum-Rate of the Hetnet Users

Prabakar, D.; Saminadan, V.

doi:10.1007/978-3-030-34080-3_36

Cited by 1 publication

(1 citation statement)

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“…They also study the spectral efficiency of the system and identify the different requirements and connectivity issues of backhaul links. A novel interference alignment technique was proposed by the authors of [22]. They investigate small-cell based heterogeneous networks and identified the problem of inter-cell interference.…”

Section: Related Workmentioning

confidence: 99%

Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh

Saraereh

Ali

et al. 2020

Sensors

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Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, there is an upsurge in the interest of efficiently deploying small-cell networks for accommodating a growing number of user equipment (UEs). This work further extends the state-of-the-art by proposing an optimization framework for reducing the power consumption of small-cell base stations (BSs). Specifically, a novel algorithm has been proposed which dynamically switches off the redundant small-cell BSs based on the traffic demands of the network. Due to the dynamicity of the formulated problem, a new UE admission control policy has been presented when the problem becomes infeasible to solve. To validate the effectiveness of the proposed solution, the simulation results are compared with conventional techniques. It is shown that the proposed power control solution outperforms the conventional approaches both in terms of accommodating more UEs and reducing power consumption.

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Section: Related Workmentioning

confidence: 99%