Joint optimization on load balancing and network load in 3GPP LTE multi-cell networks

Li, Zhihang; Wang, Hao; Pan, Zhiwen; Liu, Nan; You, Xiaohu

doi:10.1109/wcsp.2011.6096768

Cited by 23 publications

(9 citation statements)

References 9 publications

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“…Lot of existing literature discuss about the load balancing in LTE systems by varying the handover hysteresis margin, dynamic BS power control [15] and centralized load balance using software defined network (SDN) approaches. In [6,7,19] authors proposed a multiobjective problem with the objective of load balance by meeting QoS requirements and the network utility of other services like voice, video and online gaming, but the running time complexity of the proposed optimization problem is high. So, they proposed a practical algorithm which considers QoS guaranteed hybrid scheduling, handover of users with and without QoS requirements and call admission control.…”

Section: Related Workmentioning

confidence: 99%

On Femto placement and decoupled access for downlink and uplink in enterprise environments

Sathya¹,

Ramamurthy²,

Tahalani³

et al. 2016

ICST Transactions on Ubiquitous Environments

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While it is easier to quench the demand for higher data rates outdoors, it is still a significant challenge when it comes to attaining similar data rates for indoor User Equipments (UEs). Femto cells were introduced for this purpose and also to minimize the traffic load on macro Base Stations (BSs) in 4G/LTE cellular networks. Indoor UEs can achieve good throughput if they get high Signal to Noise Ratio (SNR), but the inherent problem of path loss due to obstacles prevents UEs from receiving good signals. So, the efficient placement of Femtos in enterprise buildings is crucial. For the optimal placement of Femtos, we developed a Mixed Integer Linear Programming (MILP) model and solved it using the GAMS tool. Once the network planning is done, the next problem that has to be addressed is the downlink traffic imbalance which happens due to non-uniform UE traffic distribution. Traditionally load imbalance is addressed by transferring some of the UEs from the highly loaded cell to a less loaded neighboring cell but this could increase the UE uplink transmission power as it now connected to a cell which is not the closest one. To improve UE battery life and to boost the downlink throughput, we decouple the uplink and downlink (DuD) access to UEs by connecting the uplink to the shortest pathloss Femto, and the downlink to one of less loaded neighboring Femtos. Our extensive experimentation in MATLAB shows that on average, the decoupled access system achieves 70% energy savings (i.e., uplink power) when compared to coupled access system.

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Section: Related Workmentioning

confidence: 99%

On Femto placement and decoupled access for downlink and uplink in enterprise environments

Sathya¹,

Ramamurthy²,

Tahalani³

et al. 2016

ICST Transactions on Ubiquitous Environments

View full text Add to dashboard Cite

show abstract

“…under the condition of (7). If the sum of the allocated power is larger than the eNB power constraint, in order to update the Lagrange multipliers efficiently, the PRB with the biggest power will be found and reallocated, which leads to the minimum Lagrange multiplier increase until the sum of the allocated power satisfy the constrain (6).…”

Section: Resource Allocation Schemementioning

confidence: 99%

“…The highest PRB-utilization cell is chosen as the source cell and the target cell is selected by the certain measurement mechanism called A3 events. Further relevant references focused on the load balancing in the literature are included in [5][6][7][8][9][10][11]. Utility-based adaptive radio resource allocation is studied in [12] and specific utility functions are used in the simulations.…”

Section: Introductionmentioning

confidence: 99%

Joint Dynamic Radio Resource Allocation and Mobility Load Balancing in 3GPP LTE Multi-Cell Network

Zhu¹,

Geng²,

Li³

2015

RADIOENGINEERING

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“…Utility function optimisation scheme usually models an optimisation problem on matching between users and cells according to different utility functions [19][20][21][22][23][24][25][26][27]. Bu et al [19] were the first to formulate the network-wide proportional fairness [28] problem in a multicell network.…”

Section: Lbmentioning

confidence: 99%

Heterogenous QoS‐guaranteed load balancing in 3GPP LTE multicell fractional frequency reuse network

Wang

Pan

et al. 2013

Trans. Emerging Tel. Tech.

Self Cite

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The performance of 3GPP long term evolution (LTE) network can be significantly influenced by unbalanced user distribution. In heavily loaded cells, users cannot obtain satisfied services because of shortage of resources, whereas in lightly loaded cells, there are plenty of unoccupied resources. Load balancing (LB) is proposed to deal with this problem, through which the load distribution among nearby cells can be greatly balanced. However, because of the usage of full frequency reuse in LTE, the cell‐edge throughput is severely deteriorated by strong intercell interference. Meanwhile, LTE network usually serves users with heterogenous quality‐of‐service (QoS) requirements, which requires LB to be aware of it. Furthermore, call admission control (CAC) is indispensable in the process of LB, and it depends heavily on the long‐term average performance of the scheduling scheme. Thus, design of an efficient LB algorithm with the consideration of intercell interference, QoS, CAC and scheduling together becomes an important issue. To deal with the previous problem, a multi‐objective optimisation problem is formulated in this paper. Its complexity is analysed, and a practical algorithm, which includes hybrid scheduling, QoS‐guaranteed CAC, QoS‐aware intracell and intercell LB, is proposed. Extensive simulations are conducted. Results show that the proposed algorithm can approximate the optimal solution efficiently, thus leading to significantly better performance, that is, a lower new call blocking rate for users with QoS requirement, a larger total utility and a higher cell‐edge throughput for users without QoS requirement, although the cost is a bit degradation of the total throughput. Copyright © 2013 John Wiley & Sons, Ltd.

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Joint optimization on load balancing and network load in 3GPP LTE multi-cell networks

Cited by 23 publications

References 9 publications

On Femto placement and decoupled access for downlink and uplink in enterprise environments

On Femto placement and decoupled access for downlink and uplink in enterprise environments

Joint Dynamic Radio Resource Allocation and Mobility Load Balancing in 3GPP LTE Multi-Cell Network

Heterogenous QoS‐guaranteed load balancing in 3GPP LTE multicell fractional frequency reuse network

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