Extended Cell Planning for Capacity Expansion and Power Optimization by Using MEMETIC Algorithm

2012 ◽  
Vol 2 (2) ◽  
pp. 36-46 ◽  
Author(s):  
Hemraj Saini ◽  
L. K. Sharma ◽  
T. C. Panda ◽  
H. N. Pratihari
Keyword(s):  
Linear Programming ◽  
Linear Programming Problem ◽  
Cellular Network ◽  
Memetic Algorithm ◽  
Cost Optimization ◽  
Capacity Expansion ◽  
Network Capacity ◽  
Base Station ◽  
Base Stations ◽  
Cell Planning

In the current era of cellular world, cell planning plays an important role to achieve better performance of the cellular network. Capacity expansion and cost optimization of a newly activated base station by placing it at an optimized location is one of the primary objectives of the current manuscript. The locations of the new as well as the existing base stations are directly correlated to the required capacity demand and the power of the received signal at the base station which becomes the sensitive parameter for the cell planning. Therefore, cell planning is to be modeled to optimize the location of the base stations in the form of a linear programming problem. Further, the MEMETIC algorithm has to be used for the optimization of the multi-objectives of the scenario. The simulated results show that there is a significant enhancement in the capacity of the base stations (1% to 5%) as compared with the orientation of base stations achieved by random deployment.

DEVELOPMENT OF VALUATION METHOD OF THE STATUS OF BASE STATIONS FOR DETERMINING THE NEED OF THEIR UPGRADING

2017 ◽  
pp. 60-70
Author(s):  
Natalya Ivanovna Shaposhnikova ◽  
Alexander Aleksandrovich Sorokin
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Cellular Network ◽  
New Technologies ◽  
Base Station ◽  
Base Stations ◽  
Valuation Method ◽  
The Status ◽  
Telecommunications Services ◽  
Theory Of Fuzzy Sets

The article consideres the problems of determining the need to modernize the base stations of the cellular network based on the mathematical apparatus of the theory of fuzzy sets. To improve the quality of telecommunications services the operators should send significant funding for upgrading the equipment of base stations. Modernization can improve and extend the functions of base stations to provide cellular communication, increase the reliability of the base station in operation and the functionality of its individual elements, and reduce the cost of maintenance and repair when working on a cellular network. The complexity in collecting information about the equipment condition is determined by a large number of factors that affect its operation, as well as the imperfection of obtaining and processing the information received. For a comprehensive assessment of the need for modernization, it is necessary to take into account a number of indicators. In the structure of indicators of the need for modernization, there were introduced the parameters reflecting both the degree of aging and obsolescence(the technical gap and the backlog in connection with the emergence of new technologies and standards). In the process of a problem solving, the basic stages of decision-making on modernization have been allocated. Decision-making on the need for modernization is based not only on measuring information that takes into account the decision-makers, but also on linguistic and verbal information. Therefore, to determine the need for upgrading the base stations, the theory of fuzzy sets is used, with the help of which experts can be attracted to this issue. They will be able to formulate additional fuzzy judgments that help to take into account not only measuring characteristics, but also poorly formalized fuzzy information. To do this, the main indicators of the modernization need have been defined, and fuzzy estimates of the need for modernization for all indicators and a set of indicators reflecting the need for upgrading the base stations have been formulated.

scholarly journals Joint Trajectory and Scheduling Optimization for The Mobile UAV Aerial Base Station: A Fairness Version

2019 ◽  
Vol 9 (15) ◽  
pp. 3101
Author(s):  
Yancheng Chen ◽  
Ning Li ◽  
Xijian Zhong ◽  
Wei Xie
Keyword(s):  
Ant Colony Algorithm ◽  
Network Capacity ◽  
Base Station ◽  
Base Stations ◽  
Line Of Sight ◽  
Optimization Approach ◽  
Coupling Relationship ◽  
High Flexibility ◽  
Intractable Problem ◽  
Relationship Of

Recently, unmanned aerial vehicles (UAVs) have been widely studied in the communication area to work as aerial base stations, due to the high probability of line of sight (LoS) and high flexibility. However, few works consider fairness for the users, which is one of the most important metrics for a network. In this paper, in order to maximize network capacity with the consideration of fairness, trajectory and scheduling of the mobile UAV aerial base station are jointly optimized. Firstly, the problem of maximizing network capacity with the consideration of fairness is formulated. On account of the coupling relationship of trajectory and scheduling, an alternate iteration approach that contains ant colony algorithm and genetic algorithm are then proposed to solve this intractable problem. Finally, the simulation results demonstrate the fairness enhance of the network and the validity and effectiveness of the proposed optimization approach.

scholarly journals Cell Throughput based Sleep Control Scheme for Heterogeneous Cellular Networks

2018 ◽  
Vol 12 (1) ◽  
pp. 26-33
Author(s):  
Prapassorn Phaiwitthayaphorn ◽  
Kazuo Mori ◽  
Hideo Kobayashi ◽  
Pisit Boonsrimuang
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Cellular Networks ◽  
Operating Cost ◽  
Reducing Power ◽  
Network Capacity ◽  
Base Station ◽  
Base Stations ◽  
Improve Energy Efficiency ◽  
Sleep Control

The mobile traffic continuously grows at a rapid rate driven by the widespread use of wireless devices. Along with that, the demands for higher data rate and better coverage lead to increase in power consumption and operating cost of network infrastructure. The concept of heterogeneous networks (HetNets) has been proposed as a promising approach to provide higher coverage and capacity for cellular networks. HetNet is an advanced network consisting of multiple kinds of base stations, i.e., macro base station (MBS), and small base station (SBS). The overlay of many SBSs into the MBS coverage can provide higher network capacity and better coverage in cellular networks. However, the dense deployment of SBSs would cause an increase in the power consumption, leading to a decrease in the energy efficiency in downlink cellular networks. Another technique to improve energy efficiency while reducing power consumption in the network is to introduce sleep control for SBSs. This paper proposes cell throughput based sleep control which the cell capacity ratio for the SBSs is employed as decision criteria to put the SBSs into a sleep state. The simulation results for downlink communications demonstrate that the proposed scheme improves the energy efficiency, compared with the conventional scheme.

scholarly journals Energy Competence of Base Station in cellular Network

2019 ◽  
Vol 8 (2) ◽  
pp. 2020-2023
Keyword(s):  
Co2 Emission ◽  
Cellular Network ◽  
Energy Use ◽  
Vital Role ◽  
Base Station ◽  
Base Stations ◽  
System Throughput ◽  
Environment Impact ◽  
Green Networking ◽  
Remote Areas

Energy efficiency is the key concept of wireless communication to achieve green network. Green networking is the process that reduces consumption of energy as well for conserving bandwidth and also for any other process that will ultimately reduce energy use and, indirectly, the expense. With the rapid growth of technologies in wireless network and rapid increase of mobile users the problem of spectrum usage as well as energy consumption plays a vital role. As there is anexponential increase in the deployment of base station every year the power consumed by base station is the significant theme of intrigue. The increase in the number of base stations also leads to environment impact of CO2 emission which is normally due to powering up the base station which is located in remote areas as these off-grid sites are powered by diesel generators. It is been predicted that if this trend continues then the energy consumed by cellular network in future will lead to a serious problem.Thus, there has to be a tradeoff between the quantity of subscribers and the quantity of base station or otherwise it will affect the system throughput. In this paper a brief review of methods that have been used recently to improve the energy consumed by the base station is analyzed.

Design of Femtocell-Based Smart Home System Gateway

2014 ◽  
Vol 530-531 ◽  
pp. 662-666 ◽  
Author(s):  
Wei Li ◽  
Er Qing Lu
Keyword(s):  
Smart Home ◽  
High Speed ◽  
Network Capacity ◽  
Base Station ◽  
Internet Technology ◽  
Base Stations ◽  
Single Chip ◽  
Home Base ◽  
High Data ◽  
Technology And Communication

With the development of Internet technology and communication technology, traditional base station has been unable to meet the demand for high data services. In view of this, we propose the system core with Samsung S3C2440X processor constructs smart home hardware platform and using ADI ADF4602 single-chip, multiband 3G Femtocell transceiver to establish 3G home base stations, designed and realized an embedded gateway server through the house gateway to realize the family appliance equipment remote monitoring. Of software design, focusing on smart home control system, transplantation of embedded operating system uClinux to manage system resources, constructed a complete family gateway hardware and software platform, which can reduce the load of Microcell, improve the whole network capacity, and provide high-speed and high-quality indoor wireless access services.

Cell Planning for Base Station in Mobile Communication Using an Improved Genetic Algorithm

2013 ◽  
Vol 284-287 ◽  
pp. 2699-2703 ◽  
Author(s):  
Hung Jen Liao ◽  
Chun Hung Richard Lin ◽  
Kuang Yuan Tung ◽  
Ying Chih Lin ◽  
Cheng Fa Tsai ◽  
...  
Keyword(s):  
Communication Networks ◽  
Mobile Communication ◽  
Mobile Networks ◽  
Base Station ◽  
Base Stations ◽  
Planning Problem ◽  
Improved Genetic Algorithm ◽  
Cell Planning ◽  
Planning Methods ◽  
The Cost

Cell planning problem is one of the most important issues in mobile communication networks. To tackle the problem, one should address the location management issue because it significantly affects the cost of cell planning in mobile networks. The partition of location areas is developed to minimize the total costs of considering user location and search operation simultaneously in cellular networks, which has been shown to be NP-complete and is commonly solved by metaheuristics in previous works. In this paper, we propose novel cell planning methods for base stations using genetic algorithms with initialization, local search, and particular mechanisms of area and cell crossovers. Several simulations are conducted on various cell networks with previous, random and real configurations. The simulation results reveal that our schemes are superior to the considered algorithms.

OPTIMAL CELLULAR NETWORK DEPLOYMENT REUSING EXISTING BASE STATIONS

2003 ◽  
Vol 14 (02) ◽  
pp. 169-181
Author(s):  
GUANGBIN FAN ◽  
JINGYUAN ZHANG
Keyword(s):  
Cell Size ◽  
Cellular Network ◽  
Network Capacity ◽  
Base Stations ◽  
Cellular Communications ◽  
Splitting Technique ◽  
Network Orientation ◽  
A Cell ◽  
Original Cell ◽  
Fixed Cell

Cellular communications has experienced an explosive growth recently. In order to increase the capacity of a cellular network without new frequency spectrum allocation, it is a common practice to use base stations with a lower power transmitter. Cell splitting is one of such techniques, which increases the network capacity four-fold by dividing a cell into four smaller cells. Although the cell splitting technique can reuse the existing base stations, it requires that those existing base stations be uniformly distributed. In addition, the radius of each new cell is always half that of the original cell. In this paper, it is assumed that the radius of new cells can be of any smaller size, and that the existing base stations are not necessarily uniformly distributed. While new base stations can be placed at the cell centers based on the design of the new cellular network, existing base stations should be put as close to a cell center as possible in the new cellular network. The problem to be solved, referred to as the optimal cellular network deployment, can be formulated as follows: given a set of existing base stations and a planned cellular network that has a fixed cell size and network orientation but is movable, find a position to fix the movable cellular network such that the maximum distance between existing base stations and their corresponding cell centers is minimized. This paper shows that the optimal cellular network deployment problem can be solved in O(n3) time if n existing base stations will be reused.

Study on Heterogeneous Cellular Network Frequency Resource Allocation Method Based on ASID

2014 ◽  
Vol 513-517 ◽  
pp. 1577-1580
Author(s):  
Lian Liu
Keyword(s):  
Resource Allocation ◽  
Theoretical Analysis ◽  
Mobile Communication ◽  
Cellular Network ◽  
Base Station ◽  
Base Stations ◽  
Key Technology ◽  
Heterogeneous Cellular Network ◽  
Sensitivity Loss ◽  
Allocation Method

Heterogeneous cellular network (HCN) is a key technology in the future mobile communication system. In this paper, the theoretical analysis results as a guide, HCN frequency resource allocation method based on ASID is proposed. The method first defines a macro base station receiver sensitivity loss limits, it uses the theory of direct communication users on average interference macro base stations closed expressions, then the radius of ASID is derived from the theoretical analysis. In conclusion, the rationality of frequency resource allocation method based on ASID by simulation is verification.

ENERGY EFFICIENCY POWER CONTROL OF CELL BREATHING IN EPON-WIMAX HYBRID ACCESS NETWORK

2012 ◽  
Vol 13 (03n04) ◽  
pp. 1250012
Author(s):  
HUNG-YI TENG ◽  
HUNG-CHI LAI ◽  
REN-HUNG HWANG
Keyword(s):  
Energy Efficiency ◽  
Linear Programming ◽  
Load Balancing ◽  
Programming Problem ◽  
Linear Programming Problem ◽  
Optimal Solution ◽  
Base Stations ◽  
Passive Optical Network ◽  
System Throughput ◽  
Wimax Network

In this paper, a load balancing mechanism based on cell breathing was proposed for the hybrid EPON-WiMAX network. The hybrid EPON-WiMAX network integrates the emerging Ethernet Passive Optical Network (EPON) and Worldwide Interoperability for Microwave Access (WiMAX) technologies to support high bandwidth, broadband access, mobility, and Quality of Service (QoS) guarantee. Load balancing is required due to uneven distribution of traffic among different WiMAX base stations (BS) as well as mobility of WiMAX Subscriber Station (SS). Cell breathing is a well-known load balancing technique adopted in wireless networks. By changing the transmission powers of the base stations, the cell breathing technique is able to adjust the traffic, both uplink and downlink, load of base stations. In the integrated EPON-WiMAX network, transmission powers of WiMAX base stations can be optimally allocated at the EPON optical networking unit (ONU). In this paper, we formulate the cell breathing-based load balancing problem into a linear programming problem. Our goal is to find the best power adjustment that maximizes system throughput. To alleviate the time complexity of solving the linear programming problem, we propose a Heaviest Load First Algorithm (HLFA) to obtain the near optimal solution. The solution obtained by the HLFA algorithm will not waste any transmission power to make the entire system energy-efficiency. We demonstrate the performance of HLFA via extensive simulations. The simulation results show that the HLFA can provide the best solution to achieve load balancing and enhance the system throughput as compared to existing solutions. Furthermore, HLFA maintains good performance even when the system has multiple overloaded ONU-BSs.

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