Control and data channel resource allocation in macro-femto Heterogeneous Networks

Saeed, Arsalan; Katranaras, Efstathios; Dianati, Mehrdad; Imran, Muhammad Ali

doi:10.1109/iwcmc.2015.7289265

Cited by 3 publications

(5 citation statements)

References 12 publications

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“…Hence, operators have a conflict between achieving commitments towards the MC users and maximizing network efficiency by relying heavily on SCs. To address this challenge, authors in [12]- [14] propose solutions to address interference caused by SCs to MC users.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization

Zoha

Saeed

Farooq

et al. 2018

IEEE Trans. on Mobile Comput.

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Abstract-Cell densification is being perceived as the panacea for the imminent capacity crunch. However, high aggregated energy consumption and increased inter-cell interference (ICI) caused by densification, remain the two long-standing problems. We propose a novel network orchestration solution for simultaneously minimizing energy consumption and ICI in ultra-dense 5G networks. The proposed solution builds on a big data analysis of over 10 million CDRs from a real network that shows there exists strong spatio-temporal predictability in real network traffic patterns. Leveraging this we develop a novel scheme to pro-actively schedule radio resources and small cell sleep cycles yielding substantial energy savings and reduced ICI, without compromising the users QoS. This scheme is derived by formulating a joint Energy Consumption and ICI minimization problem and solving it through a combination of linear binary integer programming, and progressive analysis based heuristic algorithm. Evaluations using: 1) a HetNet deployment designed for Milan city where big data analytics are used on real CDRs data from the Telecom Italia network to model traffic patterns, 2) NS-3 based Monte-Carlo simulations with synthetic Poisson traffic show that, compared to full frequency reuse and always on approach, in best case, proposed scheme can reduce energy consumption in HetNets to 1/8th while providing same or better QoS.

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Section: Introductionmentioning

confidence: 99%

Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization

Zoha

Saeed

Farooq

et al. 2018

IEEE Trans. on Mobile Comput.

Self Cite

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“…These results were obtained by calculating the percentage of mobile multimedia service where the mean arrival rate is less than MiBR based on all the mobile multimedia service. Our proposed scheme has much lower outage probabilities than both Saeed [23] and Wang [24]. This is attributable to the fact that the multimedia services assigned with delay priority have the highest precedence for occupying a sub-channel and are guaranteed to have a permissible MiBR.…”

Section: Performance Analysismentioning

confidence: 94%

“…Figure 8 shows the variations in total throughput for the different methods when the arrival rate of new service requests increases. Results demonstrate that the total throughput of the proposed scheme decreased to about 28% and 17%, compared to Saeed [23] and Wang [24], respectively. It allows overlaid-cell handovers from macrocells to femtocells for the purpose of load control.…”

Section: Figure 7 Comparison Of Outage Probabilitymentioning

confidence: 96%

“…QoS issues relate to how handovers must be managed and carefully controlled in order to minimize dropped service due to insufficient resources available in the new cell [3][4][5][6][7]. Wireless resource availability varies especially frequently as users move from one access point to another.…”

Section: Figure 1 Two-tier Macro-femtocell System Modelmentioning

confidence: 99%

“…The performance measures we considered are outage probability and total throughput. We compared our proposed resource allocation with those used by Saeed [23] and Wang [24]. Figure 7 shows the outage probabilities based on increasing the mobile multimedia service arrival rates.…”

Section: Performance Analysismentioning

confidence: 99%

See 2 more Smart Citations

Resource Allocation Scheme to Support QoS in Mobile Multimedia Networks

Lee¹,

Lee²

2018

IJCA

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The macrocell-femtocell overlaid system is a promising means by which to extend coverage and to support higher data rates for mobile multimedia services. This paper proposes a resource allocation mechanism to enhance service continuity in a Long Term Evolution Advanced system. In order to support service continuity in real-time services, it performs load control to satisfy maximal data throughput. Moreover, it considers the QoS requirements of real-time and non-real-time services, such as voice, video streaming, and data. Simulation results show that our scheme provides better performance than a conventional one with respect to outage probability and data transmission throughput.

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