System utility optimization of cell range expansion in Heterogeneous Cellular Networks

Jiang, Haiqi

doi:10.1109/iccsn.2016.7586694

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…In addition, Spapis et al [40] propose a complex wireless access cooperation scheme -SoftMobile in heterogeneous networks based on SDN. Furthermore, an intelligent scheme for cellular networks -SDHCN is proposed in [41] to improve the overall performance of the network by adjusting the bias factor values of multi-tier BSs. As a consequence, integrating SDN into the heterogeneous cellular networks is promising to make the network management facile.…”

Section: B Related Workmentioning

confidence: 99%

5G Software-Defined Heterogeneous Networks With Cooperation and Partial Connectivity

Zhong

Bai

et al. 2019

IEEE Access

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The heterogeneous network composed of small cell base stations (SCBSs) and macro base stations (MBSs) has been widely deployed to alleviate the load of conventional MBSs, which may also cause severe interference and large energy consumption. The existing literature generally focus on the heterogeneous networks either without cooperation or with cross-tier cooperation. In this paper, we introduce a central controller and mobile edge cloud (MEC) servers and propose a heterogeneous network with SCBSs cooperation, i.e., the intra-tier cooperation. A novel load balancing metric instead of the simple access probability ratio is introduced. Based on the utility theory, we comprehensively evaluate several important performance metrics such as connectivity probability, load balancing, and energy efficiency to optimize the overall performance of the network. Moreover, in the special case of allowing partial connectivity, the discrete stochastic optimization algorithm is proposed so that the software-defined networks (SDNs) controller can adjust network parameters with the help of MEC servers to maximize the overall energy efficiency. The simulation results demonstrate that our proposed approach is valid to optimize the network in accordance with the user requirements. This paper provides a useful reference for the practical deployment of software-defined heterogeneous networks where the energy efficiency is increasingly becoming a key concern.

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Section: B Related Workmentioning

confidence: 99%

5G Software-Defined Heterogeneous Networks With Cooperation and Partial Connectivity

Zhong

Bai

et al. 2019

IEEE Access

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“…Consider a set of UEs denoted as K = {k : k = 1,2,...,NUE}. Each UE k will associate with a serving RRH by the criterion of Cell Range Expansion (CRE) [13] to maximise transmission rate. In the MEC cloud/gNB-DU, there are multi core high processing MEC General Purpose Processors (GPPs) with VM instantiated according to traffic demand of offloaded task requests from smartphone gateways.…”

Section: B Proposed 5grem Framework System Modelmentioning

confidence: 99%

Energy Efficient Healthcare Monitoring System using 5G Task Offloading

Sigwele

Naveed

et al. 2019

JESR

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Healthcare expenses can be significantly reduced, and lives saved by enabling the continuous monitoring of patient health remotely using Wireless Body Sensor Networks (WBSN). However, an energy efficient mobile gateway (e.g. 5G smartphone) is required which moves with the patient in real time to process the data from the bio sensors without depleting the battery. This paper proposes a 5G based healthcare cardiovascular disease REmote Monitoring system called 5GREM using Electrocardiogram (ECG) bio sensor as a BSN device. The aim is to monitor and analyse the patient’s heart rhythms and send emergency alerts during irregularities to the nearest caregivers, ambulance or physician to minimise heart attacks and heart failures while saving energy. Since ECG signal execution is computer intensive, requests from the ECG sensor are either executed locally on the gateway, offloaded to nearby mobile devices or to the 5G edge while considering the battery level, CPU level, transmission power, delays and task fail rate

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