Dynamic Downlink Frequency and Power Allocation in OFDMA Cellular Networks

Liu, David; Chu, Xiaoli; Zhang, Jie

doi:10.1109/tcomm.2012.081412.110705

Cited by 43 publications

(51 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to their importance, ICI mitigation and EE enhancement problems have been widely studied in the literature, initially targeting homogeneous MC only scenarios e.g., [1], [3]- [9]. However, the EE or ICI solution proposed for MCs cannot be directly used for HetNets because of underlying differences in the power consumption models of SC and MC and the interference dynamics.…”

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.

View full text Add to dashboard Cite

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.

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…Arash Asadi et al, in [28], provides a survey and taxonomy to opportunistic scheduling which were emerges in the last two decades. Authors in [29], proposed a mechanism in which neighboring nodes can notify each other about the resource utilization and thus nodes are avoid to utilize high transmission power in those areas. In [30] and [31], authors have used the concept of minimizing transmission power and address the user interference tolerance for efficient allocation and management of resources in traditional macrocell and densely deployed small cells.…”

Section: Homogeneous Cellular Networkmentioning

confidence: 99%

Traditional Macro-tower to Heterogeneous Cellular Networks: A Survey

Borah¹,

Bora²

2017

IJAST

View full text Add to dashboard Cite

show abstract

“…A similar approach is shown in [9], where neighbouring nodes notify each other about their RB usage, so that they avoid assigning high transmission power in those RBs. A two step solution approach is proposed in this work:…”

Section: A Related Workmentioning

confidence: 99%

Dynamic femtocell resource allocation for managing inter‐tier interference in downlink of heterogeneous networks

et al. 2016

View full text Add to dashboard Cite

This paper investigates the downlink resource allocation problem in Orthogonal Frequency Division Multiple Access (OFDMA) Heterogeneous Networks (HetNets) consisting of macrocells and femtocells sharing the same frequency band. The focus is to devise optimised policies for femtocells' access to the shared spectrum, in terms of femtocell transmissions, in order to maximise femto users sum data rate while ensuring that certain level of quality of service (QoS) for the macro-cell users in the vicinity of femtocells is provided. The optimal solution to this problem is obtained by employing the well-known Dual Lagrangian method and the optimal femtocell transmit power and resource allocation solution is derived in detail. However, the optimal solution introduces high computational complexity and may not be feasible to apply in real-time systems. To this end, we propose a heuristic solution to the problem. The algorithms to implement both optimal and efficient suboptimal schemes in a practical system are also given in detail while their complexity is compared. Simulation results show that our proposed dynamic resource allocation scheme a) ensures the macro users QoS requirements compared to the Reuse-1 scheme, where femtocells are allowed to transmit at full power and bandwidth; b) can maintain femto user data rates at high levels, compared to the Orthogonal Frequency Reuse scheme, where the network bandwidth resources are partially divided amongst macro and femtocells; and c) provides performance close to the optimal solution, while introducing much lower complexity.

show abstract

Dynamic Downlink Frequency and Power Allocation in OFDMA Cellular Networks

Cited by 43 publications

References 27 publications

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

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

Traditional Macro-tower to Heterogeneous Cellular Networks: A Survey

Dynamic femtocell resource allocation for managing inter‐tier interference in downlink of heterogeneous networks

Contact Info

Product

Resources

About