Traffic offloading via Markov approximation in heterogeneous cellular networks

Oo, Thant Zin; Tran, Nguyen H.; Saad, Walid; Son, Jaehyeok; Hong, Choong Seon

doi:10.1109/noms.2016.7502796

Cited by 3 publications

(2 citation statements)

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“…In [1], the authors formulated three joint sub-problems of user association, resource allocation and interference mitigation as the maximization of downlink sum-rate with pricing. They proposed a Markov approximation framework to study the convergence in probability.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [5] explored up-link scheduling and power allocation problem and used an approximation method to arrive at a sub-optimal solution. However, these works [1]- [5] only consider DL or UL scheduling separately which is real-life must be jointly considered. Moreover, the management and coordination of all the network functions between BSs and UEs is a very challenging issue.…”

Section: Introductionmentioning

confidence: 99%

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SDN-Based Self-Organizing Energy Efficient Downlink/Uplink Scheduling in Heterogeneous Cellular Networks

Moon

Kazmi

et al. 2017

IEICE Trans. Inf. & Syst.

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Seungil MOON†a) , Thant Zin OO †b) , S. M. Ahsan KAZMI †c) , Bang Ju PARK † †d) , Nonmembers, and Choong Seon HONG †e) , Member SUMMARYThe increase in network access devices and demand for high quality of service (QoS) by the users have led to insufficient capacity for the network operators. Moreover, the existing control equipment and mechanisms are not flexible and agile enough for the dynamically changing environment of heterogeneous cellular networks (HetNets). This nonagile control plane is hard to scale with ever increasing traffic demand and has become the performance bottleneck. Furthermore, the new HetNet architecture requires tight coordination and cooperation for the densely deployed small cell base stations, particularly for interference mitigation and dynamic frequency reuse and sharing. These issues further complicate the existing control plane and can cause serious inefficiencies in terms of users' quality of experience and network performance. This article presents an SDN control framework for energy efficient downlink/uplink scheduling in HetNets. The framework decouples the control plane from data plane by means of a logically centralized controller with distributed agents implemented in separate entities of the network (users and base stations). The scheduling problem consists of three sub-problems: (i) user association, (ii) power control, (iii) resource allocation and (iv) interference mitigation. Moreover, these sub-problems are coupled and must be solved simultaneously. We formulate the DL/UL scheduling in HetNet as an optimization problem and use the Markov approximation framework to propose a distributed economical algorithm. Then, we divide the algorithm into three sub-routines for (i) user association, (ii) power control, (iii) resource allocation and (iv) interference mitigation. These sub-routines are then implemented on different agents of the SDN framework. We run extensive simulation to validate our proposal and finally, present the performance analysis.

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Section: Introductionmentioning

confidence: 99%