A Multidepth Load-Balance Scheme for Clusters of Congested Cells in Ultradense Cellular Networks

Densely deploying small cells will be a solution to provide explosive data requirements in fifth-generation networks. Because users often cluster together in popular locations of an urban area, congested small cells in the popular sites are also gathered. Traditional load balancing schemes generally only consider neighboring cells when offloading users are not suitable for clusters of overloaded cells. This paper considers groups of overloaded cells in the load balancing problem. The objective is to maximize the quality-of-service satisfaction ratio. To solve the problem, we propose a multidepth offloading algorithm with the consideration of the radio resource allocation. The proposed multidepth offloading algorithm can be applied no matter that congested small cells are gathered or not. Compared with a previous offloading algorithm and a baseline, the simulation results show that our proposed algorithm can increase 16% QoS satisfaction ratio in a real user distribution and 13% QoS satisfaction ratio in a clustered user placement.

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A stepwise radio resource allocation scheme considering load balancing in OFDM-based relay/cellular networks

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC) ◽

10.1109/pimrc.2014.7136289 ◽

2014 ◽

Author(s):

Yujing Shang ◽

Yinjun Liu ◽

Qimei Cui ◽

Baoling Liu

Keyword(s):

Resource Allocation ◽

Load Balancing ◽

Cellular Networks ◽

Radio Resource Allocation ◽

Allocation Scheme ◽

Radio Resource ◽

Resource Allocation Scheme

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Mobility load balancing aware radio resource allocation scheme for LTE-Advanced cellular networks

2015 IEEE 16th International Conference on Communication Technology (ICCT) ◽

10.1109/icct.2015.7399952 ◽

2015 ◽

Cited By ~ 3

Author(s):

Lexi Xu ◽

Xinzhou Cheng ◽

Yu Liu ◽

Weiwei Chen ◽

Yuting Luan ◽

...

Keyword(s):

Resource Allocation ◽

Load Balancing ◽

Cellular Networks ◽

Radio Resource Allocation ◽

Allocation Scheme ◽

Radio Resource ◽

Lte Advanced ◽

Resource Allocation Scheme

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Interference Avoiding Radio Resource Allocation Scheme for Multi-hop OFDMA Cellular Networks with Random Topology

Communication and Networking - Communications in Computer and Information Science ◽

10.1007/978-3-642-17587-9_11 ◽

2010 ◽

pp. 95-103

Author(s):

Sunggook Lim ◽

Jaiyong Lee

Keyword(s):

Resource Allocation ◽

Cellular Networks ◽

Radio Resource Allocation ◽

Allocation Scheme ◽

Radio Resource ◽

Random Topology ◽

Resource Allocation Scheme

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Application of Fuzzy Logic for Slice QoS in 5G Networks

International Journal of Mobile Computing and Multimedia Communications ◽

10.4018/ijmcmc.2021040102 ◽

2021 ◽

Vol 12 (2) ◽

pp. 18-35

Author(s):

Phudit Ampririt ◽

Ermioni Qafzezi ◽

Kevin Bylykbashi ◽

Makoto Ikeda ◽

Keita Matsuo ◽

...

Keyword(s):

Fuzzy Logic ◽

Additional Parameter ◽

Software Defined Network ◽

5G Networks ◽

Network Slicing ◽

Fifth Generation ◽

5G Network ◽

Simulation Results ◽

Qos Performance

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.

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Game Theory-Based Radio Resource Optimization in Heterogeneous Small Cell Networks (HSCNs)

Game Theory Framework Applied to Wireless Communication Networks - Advances in Wireless Technologies and Telecommunication ◽

10.4018/978-1-4666-8642-7.ch006 ◽

2015 ◽

pp. 137-183

Author(s):

Mugen Peng ◽

Yaohua Sun ◽

Chengdan Sun ◽

Manzoor Ahmed

Keyword(s):

Game Theory ◽

Resource Allocation ◽

Small Cell ◽

Base Stations ◽

Radio Resource Allocation ◽

Radio Resource ◽

Small Cell Networks ◽

The Game Theory ◽

Simulation Results ◽

Cell Networks

To optimize radio resource allocation, the game theory is utilized as a powerful tool because its characteristic can be adaptive to the distribution characteristics of in heterogeneous small cell networks (HSCNs). This chapter summarizes the recent achievements for the game theory based radio resource allocation in HSCNs, where macro base stations (MBSs) and dense small cell base stations (SBSs) share the same frequency spectrum and interfere with each other. Two kinds of game models are introduced to optimize the radio resource allocation, namely the non-cooperative Stackelberg and the cooperative coalition. System models, optimization problem formulation, problem solution, and simulation results for these two kinds of game models are presented. Particularly, the Stackelberg models for HSCNs are presented with the Stackelberg equilibrium and the closed-form expressions. The coalition formations for traditional HCSNs, cloud small cell networks, and heterogeneous cloud small cell networks are introduced. Simulation results are shown to demonstrate the proposed game theory based radio resource optimization strategies converged and efficient.

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Efficient Channel Utilization and Prioritization Scheme for Emergency Calls in Cellular Network

International Journal of Wireless Networks and Broadband Technologies ◽

10.4018/ijwnbt.2014070104 ◽

2014 ◽

Vol 3 (3) ◽

pp. 56-69

Author(s):

K. N. Rama Mohan Babu ◽

K.N. Balasubramanya Murthy ◽

G.V. Pavithra ◽

K.R Mamatha

Keyword(s):

Cellular Networks ◽

Cellular Network ◽

Channel Utilization ◽

Scheduling Scheme ◽

Emergency Calls ◽

Probabilistic Scheduling ◽

Simulation Results ◽

Prioritization Scheme ◽

Better Than

Handling of emergency calls in wireless cellular networks is one of the major issues. The main objective here is to improve quality of service by efficient channel utilization. In this paper, a new scheme called probabilistic emergency prioritization scheme (PEPS) is proposed which provides highest priority for emergency calls. The proposed method minimizes the dropping or blocking of emergency calls even if the number of emergency calls are more than 25% of the calls. Monte Carlo simulation results show that the proposed scheme works better than the existing adaptive probabilistic scheduling scheme (APS).

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