Research on Resource Allocation based on Clustering in Femtocell Networks

2017 ◽  
Vol 7 (1) ◽  
pp. 138
Author(s):  
Ding Kai ◽  
Liu Zhanjun ◽  
Zhou Shiyan ◽  
Ran Weiyi ◽  
Li Wei
Keyword(s):  
Resource Allocation ◽  
Clustering Algorithm ◽  
Average Rate ◽  
Fitness Function ◽  
Base Station ◽  
Base Stations ◽  
Conflict Graph ◽  
Search Range ◽  
Femtocell Networks ◽  
Resource Allocation Algorithm

<p>Aiming at the problem that existing femtocell base station searching the optimal clustering scheme based on the clustering resource allocation algorithm is complex. we propose that building an conflict graph and adjacency matrix before clustering to calculate the number of clusters needed for FBS group by using the adaptive clustering heuristic algorithm. We follow maximization the sum of the FBS distances in the cluster and group the femtocell base stations to narrow the search range to reduce the computational complexity. In order to achieve different business types service, based on the above clustering algorithm, this paper proposes a new method that using the weighted energy efficiency, which including the user interruption and the network spectral efficiency as a fitness function of the power control scheme to solve the problem. The simulation results show that the same rate requirement reduces the complexity, while the same complexity increases the user's average rate.</p>

Energy and Quality Aware Multi-Objective Resource Allocation Algorithm in Cloud

2021 ◽  
pp. 2150052
Author(s):  
Koné Kigninman Désiré ◽  
Eya Dhib ◽  
Nabil Tabbane ◽  
Olivier Asseu
Keyword(s):  
Resource Allocation ◽  
Energy Consumption ◽  
Search Algorithm ◽  
Fitness Function ◽  
Video Quality ◽  
Minimum Energy ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Energy Aware ◽  
Resource Allocation Algorithm

Cloud gaming has become the new service provisioning prototype that hosts the video games in the cloud and broadcasts the interactive game streaming to the players through the Internet. Here, the cloud must use massive resources for video representation and its streaming when several simultaneous players reach a particular point. Alternatively, various players may have separate necessities on Quality-of Experience, like low delay, high-video quality, etc. The challenging task is providing better service by the fixed cloud resource. Hence, there is a necessity for an energy-aware multi-resource allocation in the cloud. This paper devises a Fractional Rider-Harmony search algorithm (Fractional Rider-HSA) for resource allocation in the cloud. The Fractional Rider-HSA combines fractional calculus, Rider Optimization algorithm (ROA), and HSA. Moreover, the fitness function, like mean opinion score (MOS), gaming experience loss, fairness, energy consumption, and network parameters, is considered to determine the optimal resource allocation. The proposed model produces the maximal MOS of 0.8961, maximal gaming experience loss (QE) of 0.998, maximal fairness of 0.9991, the minimum energy consumption of 0.3109, and minimal delay 0.2266, respectively.

Base station selection and resource allocation in macro–femtocell networks under noisy scenario

2013 ◽  
Vol 20 (1) ◽  
pp. 115-131 ◽  
Author(s):  
Rebeca Estrada ◽  
Abdallah Jarray ◽  
Hadi Otrok ◽  
Zbigniew Dziong
Keyword(s):  
Resource Allocation ◽  
Base Station ◽  
Femtocell Networks

scholarly journals Dynamic access class barring and relay assisted radio resource allocation methods for cellular M2M networks

2021 ◽  
Author(s):  
Lilatul Ferdouse
Keyword(s):  
Resource Allocation ◽  
Load Balancing ◽  
Transmission Rate ◽  
Random Access ◽  
Base Station ◽  
Base Stations ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Selection Probability ◽  
The Impact

Cellular based M2M systems generate massive number of access requests which create congestion in the cellular network. The contention-based random access procedures are designed for cellular networks which cannot accommodate a large number of M2M traffic. Moreover, M2M systems share same radio resources with cellular users. Resource allocation problem becomes a challenging issue in cellular M2M systems. In this thesis, we address these two problems by analyzing a contention-based slotted Aloha random access procedure for M2M networks using different performance metrics. The impact of massive M2M traffic over cellular traffic is studied based on different arrival rate, random access opportunity and throughput. An analytical model of selecting a base station (eNB) along with load balancing is developed. Finally, two methods have been presented and evaluated with M2M traffic. First one is dynamic access class barring method which controls RAN level congestion by selecting an appropriate eNB and applying load balancing method. Second one is relay-assisted radio resource allocation method which maximizes the sum throughput of the system by utilizing the available radio resource blocks and relay nodes to the MTC systems. Numerical results show that frame transmission rate influences the selection probability of the base stations. Moreover, the dynamic access class barring parameter along with frame transmission rate improve the overall throughput and access success probability among base stations as well as avoid overload situation in a particular base station.

scholarly journals Cognitive-Femtocell Based Resource Allocation in Macrocell Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Base Station ◽  
Base Stations ◽  
Network Coverage ◽  
Femtocell Networks ◽  
Single Input Single Output ◽  
Single Output ◽  
Efficiency Measures ◽  
Input Multiple Output ◽  
Single Input ◽  
Cognitive Femtocell

<div>In this paper, we articulate the network coverage issues for both Femto Users (FUs) and Macro Users (MUs) located at cell edges. The cognitive-femtocell networks functioning under the vicinity of a macrocell frontier where the parameters such as pathloss, shadowing, Rayleigh fading have considered into the system model. The users, located at network border are positioned far apart from the Macro Base Station (MBS). This can be treated as the underprivileged users. The underprivileged users are to be facilitated by the femto cell base stations to provide uninterrupted QoS. We present on the overall outage probability of Single Input single Output (SISO) users and Single Input Multiple Output (SIMO) users, respectively, by taking several circumstantial components such as such as probability density function (PDF), location gap between base stations (BSs) and users, intra-tier interference and inter-tier interference into account. Further, evaluation has been extended by considering network throughput as the efficiency measures based on the sub-carrier and the power allotment in the dual tier network.</div>

scholarly journals Remote Sensing Using Hybrid Access Cognitive Femtocell Networks in Wireless Communication

2019 ◽  
Vol 8 (9) ◽  
pp. 2196-2199
Keyword(s):  
Cognitive Radio ◽  
Data Transmission ◽  
Cognitive Radio Network ◽  
Radio Networks ◽  
Base Station ◽  
Base Stations ◽  
Maximum Throughput ◽  
Femtocell Networks ◽  
Network Effectiveness ◽  
Network Time

Femto cells are miniature wireless telecommunications base stations that can be placed in different inhibited or industry surroundings moreover as single stand-alone substance or in clusters to afford enhanced cellular coverage inside a building. It is extensively known that cellular coverage, predominantly for data transmission where high quality signal strengths are desirable is not as superior within buildings. By using a miniature domestic base station Femto cell, the cellular routine can be enhanced beside with the promising provision of other services. A cognitive radio network time after time detects handy channels in cellular spectrum, and then frequently varies its transmission or receiving parameters to tolerate further synchronized cellular communications in a given cellular electromagnetic band. Conveying of the free channels among main and minor users, in a specific geographic province at the same time as minimizing infringement amongst all users also known as the Spectrum allotment in cognitive radio networks. In this work MBS, FAP and MUs are presented. Here FAP serves the provision of sub channels and provides power in order to maximize the network effectiveness. Finally achieved maximum throughput for the deployed Macro users (MU) and also the above mentioned problem is solved by dual disintegration method.

scholarly journals Uplink Resource Allocation for Interference Mitigation in Two-Tier Femtocell Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Sung-Yeop Pyun ◽  
Woongsup Lee ◽  
Ohyun Jo
Keyword(s):  
Resource Allocation ◽  
Interference Mitigation ◽  
Mobile Station ◽  
Base Stations ◽  
System Level ◽  
Optimization Scheme ◽  
Femtocell Networks ◽  
User Capacity ◽  
Resource Allocation Schemes ◽  
Capacity And Coverage

Two-tier femtocell networks, in which a large number of femto base stations (BSs) are deployed within a region overlapping with a macrocell, can provide an economical means of increasing user capacity and coverage. Given that femto BSs may be deployed with no cell planning, cross-tier interference generated from a number of macrocells and femtocells can cause severe problems. In particular, a macro mobile station (MS) that transmits uplink data may generate severe interference with adjacent femtocells, which causes performance degradation. In order to solve these problems, two novel resource allocation schemes, optimization and heuristic, are proposed, which efficiently reduce uplink interference in two-tier femtocell networks. Simulation results at the system level verify that both proposed schemes can improve the average capacity of the femtocells, but the heuristic scheme outperforms the optimization scheme in terms of computational complexity.

scholarly journals Improving Energy Efficiency of Cooperative Femtocell Networks via Base Station Switching Off

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Woongsup Lee ◽  
Bang Chul Jung
Keyword(s):  
Energy Efficiency ◽  
Mobile Station ◽  
Base Station ◽  
Cooperative Transmission ◽  
Base Stations ◽  
Femtocell Networks ◽  
Coordinated Multipoint ◽  
Performance Metric ◽  
Bs Switching ◽  
Optimal Set

Recently, energy efficiency (EE) of cellular networks has become an important performance metric, and several techniques have been proposed to increase the EE. Among them, turning off base stations (BSs) when not needed is considered as one of the most powerful techniques due to its simple operation and effectiveness. Herein, we propose a novel BS switching-off technique for cooperative femtocell networks where multiple femtocell BSs (FBSs) simultaneously send packets to the same mobile station (MS). Unlike conventional schemes, cooperative operation of FBSs, also known as coordinated multipoint (CoMP) transmission, is considered to determine which BSs are turned off in the proposed technique. We first formulate the optimization problem to find the optimal set of FBSs to be turned off. Then, we propose a suboptimal scheme operating in a distributed manner in order to reduce the computational complexity of the optimal scheme. The suboptimal scheme is based on throughput ratio (TR) which specifies the importance of a particular FBS for the cooperative transmission. Through simulations, we show that the energy consumption can be greatly reduced with the proposed technique, compared with conventional schemes. Moreover, we show that the suboptimal scheme also achieves the near-optimal performance even without the excessive computations.

Research and Improvement about LEACH Algorithm for Wireless Sensor Networks

2014 ◽  
Vol 599-601 ◽  
pp. 1954-1959
Author(s):  
Tao Liu ◽  
Sui Min Jia
Keyword(s):  
Clustering Algorithm ◽  
Cluster Head ◽  
Premature Death ◽  
Base Station ◽  
Base Stations ◽  
Wireless Sensor ◽  
Cluster Number ◽  
Local Data ◽  
Distance Threshold ◽  
Energy Distance

In Wireless Sensor Network (WSN), unreasonable node clustering algorithm will inevitably lead to premature death, unawareness of regional information.To address problems of traditional LEACH algorithm, An improved LEACH multi-hop routing algorithm based on Energy Distance Threshold (EDT) is presented. It mainly improves from aspects of cluster number, cluster head selection and inter-cluster communication. The improved clustering hierarchy algorithm considers the nodes Energy Distance Threshold as an important factor in selection then chooses the best cluster head within the area. The selection of cluster head is based on re-select manner, which dynamically and effectively select cluster heads by control cluster number and combing with EDT. After cluster head completes local data fusion and processing, it look for adjacent cluster head as next hop closer to base station with larger EDT if the head is far away from station. The next hop repeats above process till the base station is arrived. Such manner of multi-hop among clusters enables communication among clusters and base stations so as to avoid direct communication between head and station. The method reduces energy consumption and also balances energy. Simulation results show the improved LEACH algorithm has higher energy utilizing rate, and it helps prolong network’s lifetime.

Sign in / Sign up

Export Citation Format

Share Document