Load balancing in heterogeneous LTE: Range optimization via cell offset and load-coupling characterization

Siomina, Iana; Yuan, Di

doi:10.1109/icc.2012.6364075

Cited by 84 publications

(59 citation statements)

References 6 publications

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“…Cell range expansion (RE) seems to be the solution to overcome this problem. An additional benefit is a more effective offloading from the macro layer to the small cells [14]. Whereas RE partially compensates UL interference issues, DL interference is increased at the new small-cell edge due to the DL transmissions from the macro cell to other users.…”

Section: Dense and Dynamic Ranmentioning

confidence: 99%

METIS research advances towards the 5G mobile and wireless system definition

Monserrat

Mange

Braun

et al. 2015

J Wireless Com Network

106

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The Mobile and wireless communications Enablers for the Twenty-twenty Information Society (METIS) project is laying the foundations of Fifth Generation (5G) mobile and wireless communication system putting together the point of view of vendors, operators, vertical players, and academia. METIS envisions a 5G system concept that efficiently integrates new applications developed in the METIS horizontal topics and evolved versions of existing services and systems. This article provides a first view on the METIS system concept, highlights the main features including architecture, and addresses the challenges while discussing perspectives for the further research work.

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Section: Dense and Dynamic Ranmentioning

confidence: 99%

METIS research advances towards the 5G mobile and wireless system definition

Monserrat

Mange

Braun

et al. 2015

J Wireless Com Network

106

View full text Add to dashboard Cite

show abstract

“…In [6], some theoretical properties of the load-coupling model are provided. On the application side, the model has been used in the context of load balancing and offloading in heterogeneous networks (HetNets), respectively, in [7] and [8].…”

Section: Introductionmentioning

confidence: 99%

“…This is in contrast to [1], [2], [3], [6] where the derivation and analysis are limited to unconstrained load coupling. A straightforward though naive way to deal with the constraint of maximum load is to solve first the unconstrained model, followed by checking whether or not any cell load exceeds the limit [7], [8]. We present significantly more efficient approaches.…”

Section: Introductionmentioning

confidence: 99%

“…There are many parameters that should be optimized in LTE networks and HetNets, such as small cell location, range offset for usercell association, as well as power (even though power control is not yet common for downlink in current LTE networks), and so on. For example, optimal range and location of small cells are studied in [7], [8], respectively. These optimization tasks are typically non-convex and combinatorial in nature (see, e.g., [8] for an NP-hardness proof for user association).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On Constrained Cell Load Coupling With Applications in LTE Networks

Siomina

Yuan

2014

IEEE Commun. Lett.

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Abstract-For LTE networks, the levels of resource consumption of the cells, a.k.a. cell load factors, are coupled with each other in a non-linear manner. We establish theoretical and algorithmic results for the constrained load-coupling model. Our focus is on solution existence, i.e., whether or not a network configuration is able to support the traffic demand within the resource limit. We provide theoretical characterizations and concepts for determining feasibility. The concepts are illustrated for maximum demand scaling. Empirical insights are gained via a heterogeneous LTE network scenario.

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“…However, the existence of different network elements having distinct maximum transmit power that leads to the necessity of more complicated algorithm to achieve target peak data rate, Moreover, due to the shared technology of downlink shared channel in LTE networks, cell load participates in the parameters of the user's achievable data rate. Various Load balancing algorithms [2][3][4] have been proposed to maintain more balanced load for better average cell throughput. Other researches focus on improving the Resource Allocation (RA) procedure.…”

Section: Introductionmentioning

confidence: 99%