cdma networks
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Author(s):  
Gisele Alves Santana ◽  
Layhon Roberto Rodrigues dos Santos ◽  
Cristiane A. Pendeza Martinez ◽  
André Luís Machado Martinez ◽  
Taufik Abrão

2021 ◽  
Author(s):  
Gang Wu

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.


2021 ◽  
Author(s):  
Gang Wu

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.


2021 ◽  
Author(s):  
Ying Zhao

High speed data transmission in wireless networks demands better radio resource management schemes. The research work for this thesis considers packet scheduling in downlinks of a cellular CDMA system for delay-tolerant applications. In this thesis, a packet scheduling scheme is proposed that attempts to provide fair allocation of individuals throughout and obtain relatively high system throughput. It is based on combined consideration of channel conditions, required throughput and achieved average throughput. A priority factor and system tolerance factor are introduced. We confirmed the trade-off between system throughout (i.e., efficiency) and individual throughput (i.e., fairness) by both analysis and simulation. Relative performance between the proposed scheme and traditional schemes is evaluated through simulation to confirm the analytical observations. The sensitivity of system tolerance factor towards efficiency and fairness was also investigated. Overall, the proposed scheme performs between absolute unfairness scheme and absolute fairness scheme in term s of system throughput and fair allocation of individual throughput.


2021 ◽  
Author(s):  
Ying Zhao

High speed data transmission in wireless networks demands better radio resource management schemes. The research work for this thesis considers packet scheduling in downlinks of a cellular CDMA system for delay-tolerant applications. In this thesis, a packet scheduling scheme is proposed that attempts to provide fair allocation of individuals throughout and obtain relatively high system throughput. It is based on combined consideration of channel conditions, required throughput and achieved average throughput. A priority factor and system tolerance factor are introduced. We confirmed the trade-off between system throughout (i.e., efficiency) and individual throughput (i.e., fairness) by both analysis and simulation. Relative performance between the proposed scheme and traditional schemes is evaluated through simulation to confirm the analytical observations. The sensitivity of system tolerance factor towards efficiency and fairness was also investigated. Overall, the proposed scheme performs between absolute unfairness scheme and absolute fairness scheme in term s of system throughput and fair allocation of individual throughput.


2021 ◽  
Author(s):  
Maheswaran Subramaniam

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.


2021 ◽  
Author(s):  
Maheswaran Subramaniam

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.


Author(s):  
Neelam Chaitanya ◽  
R. Hrishikesh ◽  
Samarth Sb ◽  
Leela Satya Kartheek Raja ◽  
Yaramala Nitish Kumar Reddy

Author(s):  
Eric E. Petrosky ◽  
Alan J. Michaels ◽  
Joseph M. Ernst

Low power, low cost, and security-conscious wireless sensor networks are becoming increasingly pervasive in the internet of things (IoT). In these networks, receiver-assigned code division multiple access (RA-CDMA) offers benefits over existing multiple access techniques. RA-CDMA networks are asynchronous, robust against multipath interference, and offer resilience against collision. A lightweight medium access control (MAC) protocol is needed to facilitate communication in RA-CDMA networks between low power sensor nodes and access points. This article provides an overview of RA-CDMA and proposes elements of a new MAC protocol that could improve performance of certain wireless sensor networks. Key features of the proposed MAC design are introduced and compared to those of existing protocols, highlighting its simple and lightweight design. Through its compatibility with RA-CDMA, the MAC design eliminates significant overhead and complexity while meeting requirements for low power networks, which enables the implementation of dense IoT sensor networks.


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