Coordinated Location-Based Downlink Scheduling in a Cellular CDMA Network with Partitioned Cells

2021 ◽  
Author(s):  
Gang Wu
Keyword(s):  
Cell System ◽  
Base Stations ◽  
Average Throughput ◽  
Downlink Scheduling ◽  
Scheduling Scheme ◽  
Cellular Cdma ◽  
Cdma Networks ◽  
Cell Simulation ◽  
A Cell ◽  
Inter Cell Interference

A downlink scheduling scheme called coordinated location dependent downlink scheduling scheme (CLDSS), that combines the intra-cell power allocation and inter-cell transmission coordination is proposed to be used in TD-CDMA networks. In the proposed scheme, each cell in the cellular network is partitioned into co-centric areas based on the load distribution in the cell. The transmissions from base stations are controlled based on the intra-cell load as well as coordinated to minimize inter-cell interference. The average throughput employing the CLDSS is analyzed for a 2-(square) cell system in shallow fading environment with 2 (square) partitioned areas for each cell. Simulation study is also done to validate the numerical results obtained from the analytical study. It is shown that CLDSS scheme can provide soft throughput, i.e. the average throughput remains relatively invariant with the number of users and also provide good performance even in the non-uniform user distribution within a cell. The CLDSS scheme can also improve the fairness in terms of achievable throughput to users anywhere in the cell.

scholarly journals Coordinated Location-Based Downlink Scheduling in a Cellular CDMA Network with Partitioned Cells

2021 ◽  
Author(s):  
Gang Wu
Keyword(s):  
Cell System ◽  
Base Stations ◽  
Average Throughput ◽  
Downlink Scheduling ◽  
Scheduling Scheme ◽  
Cellular Cdma ◽  
Cdma Networks ◽  
Cell Simulation ◽  
A Cell ◽  
Inter Cell Interference

A downlink scheduling scheme called coordinated location dependent downlink scheduling scheme (CLDSS), that combines the intra-cell power allocation and inter-cell transmission coordination is proposed to be used in TD-CDMA networks. In the proposed scheme, each cell in the cellular network is partitioned into co-centric areas based on the load distribution in the cell. The transmissions from base stations are controlled based on the intra-cell load as well as coordinated to minimize inter-cell interference. The average throughput employing the CLDSS is analyzed for a 2-(square) cell system in shallow fading environment with 2 (square) partitioned areas for each cell. Simulation study is also done to validate the numerical results obtained from the analytical study. It is shown that CLDSS scheme can provide soft throughput, i.e. the average throughput remains relatively invariant with the number of users and also provide good performance even in the non-uniform user distribution within a cell. The CLDSS scheme can also improve the fairness in terms of achievable throughput to users anywhere in the cell.

scholarly journals An Analysis of Pilot Power Based Power Control and Dynamic Load Sharing in Cellular CDMA Networks

2021 ◽  
Author(s):  
Maheswaran Subramaniam
Keyword(s):  
Power Control ◽  
Mobile Station ◽  
Base Station ◽  
Link Quality ◽  
Base Stations ◽  
Home Base ◽  
Transmit Power ◽  
Cellular Cdma ◽  
Cdma Networks ◽  
Pilot Power

Power control is one of the most important processes in cellular CDMA networks as the interference is the predominant factor that influences the capacity and signal to noise and interference ratio (SINR). In mobile communication, minimizing the mobile transmitted power subject to maintaining the link quality is a challenging task. In this thesis, a pilot based power control (PPBPC) algorithm integrated with base station assignment is proposed which is decentralized, uses transmit power control and adapts cell sizes for load distribution. In the proposed algorithm, each base station transmits its forward link pilot power inversely proportional to the total reverse link received power. The mobile station senses the strongest pilot power received and determines its home base station. Using the proposed algorithm, dynamic propogation of base station assignment occurs which leads to re-assignment of home base stations system-wide reducing the total mobile transmit power. The simulation results are the evidence for the feasibility of the implementation of the algorithm.

scholarly journals An Analysis of Pilot Power Based Power Control and Dynamic Load Sharing in Cellular CDMA Networks

2021 ◽  
Author(s):  
Maheswaran Subramaniam
Keyword(s):  
Power Control ◽  
Mobile Station ◽  
Base Station ◽  
Link Quality ◽  
Base Stations ◽  
Home Base ◽  
Transmit Power ◽  
Cellular Cdma ◽  
Cdma Networks ◽  
Pilot Power

Power control is one of the most important processes in cellular CDMA networks as the interference is the predominant factor that influences the capacity and signal to noise and interference ratio (SINR). In mobile communication, minimizing the mobile transmitted power subject to maintaining the link quality is a challenging task. In this thesis, a pilot based power control (PPBPC) algorithm integrated with base station assignment is proposed which is decentralized, uses transmit power control and adapts cell sizes for load distribution. In the proposed algorithm, each base station transmits its forward link pilot power inversely proportional to the total reverse link received power. The mobile station senses the strongest pilot power received and determines its home base station. Using the proposed algorithm, dynamic propogation of base station assignment occurs which leads to re-assignment of home base stations system-wide reducing the total mobile transmit power. The simulation results are the evidence for the feasibility of the implementation of the algorithm.

Proteomic Characterization of Protein-Protein Interactions

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Veenstra TD ◽  
Keyword(s):  
Protein Interactions ◽  
Disease Diagnosis ◽  
Cell System ◽  
Protein Protein Interactions ◽  
Novel Technologies ◽  
Cell Functions ◽  
Single Protein ◽  
A Cell ◽  
Molecular Components

Identifying all the molecular components within a living cell is the first step into understanding how it functions. To further understand how a cell functions requires identifying the interactions that occur between these components. This fact is especially relevant for proteins. No protein within a human cell functions on its own without interacting with another biomolecule - usually another protein. While Protein-Protein Interactions (PPI) have historically been determined by examining a single protein per study, novel technologies developed over the past couple of decades are enabling high-throughput methods that aim to describe entire protein networks within cells. In this review, some of the technologies that have led to these developments are described along with applications of these techniques. Ultimately the goal of these technologies is to map out the entire circuitry of PPI within human cells to be able to predict the global consequences of perturbations to the cell system. This predictive capability will have major impacts on the future of both disease diagnosis and treatment.

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