Optimization of Relay-Based Network Throughput for NB-CR-IoT Networks

2021 ◽  
pp. 457-464
Author(s):  
Srinivasa Rao Patri ◽  
L. Nithyanandan
Keyword(s):  
Network Throughput

Resource-constrained maximum network throughput on space networks

2015 ◽  
Vol 26 (2) ◽  
pp. 215-223
Author(s):  
Yanling Xing ◽  
Ning Ge ◽  
Youzheng Wang
Keyword(s):  
Network Throughput ◽  
Resource Constrained ◽  
Space Networks

Network Throughput and Outage Analysis in a Poisson and Matérn Cluster based LTE-Advanced Small Cell Networks

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Outage Probability ◽  
Cell Formation ◽  
Access Network ◽  
Small Cell ◽  
Network Throughput ◽  
Base Stations ◽  
Small Cells ◽  
Network Cell ◽  
Lte Advanced ◽  
The Impact

<div>In LTE-A (LTE-Advanced), the access network cell formation is an integrated form of outdoor unit and indoor unit. With the indoor unit extension the access network becomes heterogeneous (HetNet). HetNet is a straightforward way to provide quality of service (QoS) in terms better network coverage and high data rate. Although, due to uncoordinated, densely deployed small cells large interference may occur, particularly in case of operating small cells within the spectrum of macro base stations (MBS). This paper probes the impact of small cell on the outage probability and the average network throughput enhancement. The positions of the small cells are retained random and modelled with homogeneous Poisson Point Process (PPP) and Matérn Cluster process (MCP). The paper provides an analytic form which permits to compute the outage probability, including the mostly applied fast fading channel types. Furthermore, simulations are evaluated in order to calculate the average network throughput for both random processes. Simulation results highlights that the network throughput remarkably grows due to small cell deployment.</div>

scholarly journals Secondary Network Throughput Analysis Applying SFR in OFDMA-CR Networks

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Power Level ◽  
Access Point ◽  
Frequency Reuse ◽  
Network Throughput ◽  
Base Stations ◽  
Frame Structure ◽  
Control Factor ◽  
Wireless Data ◽  
Femtocell Networks ◽  
Secondary Network

<div>In OFDMA femtocell networks, the licensed spectrum of the macro users (MUs) are available to the femto users (FUs), on the condition that they do not spark off notable interference to the MUs. We contemplate wireless data for femto user (FU) / secondary user (SU) in cognitive radio (CR) networks where the frame structure split up into sensing and data transmission slots. Moreover, we consider soft frequency reuse (SFR) technique to improve secondary network throughput by increasing the macrocell edge user power control factor. SFR applies a frequency reuse factor (FRF) of 1 to the terminal located at the cell centre for that all base stations (BSs) share the total spectrum. But for the transmission on each sub-carrier the BSs are confined to a certain power level. However, more than 1 FRF uses for the terminals near to the macrocell edge area. In this context, we conceptualize the cognitive femtocell in the uplink in which the femtocell access point (FAP) initially perceive by sensing to find out the availability of MU after that FAP revamps its action correspondingly. Appropriately, when the MU is sensed to be non-existent, the FU transmits at maximum power. In other respect, the FAP make the best use of the transmit power of the FU to optimize the secondary network throughput concern to outage limitation of the MU. Finally, effectiveness of the scheme is verified by the extensive matlab simulation.</div>

scholarly journals Design and Simulation of Spectrum Access and Power Management Protocol for Dynamic Access Networks

2020 ◽  
Vol 17 (4A) ◽  
pp. 588-597
Author(s):  
Ala'eddin Masadeh ◽  
Haythem Bany Salameh ◽  
Ahmad Abu-El-Haija
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Network Throughput ◽  
Network Simulator ◽  
Spatial Reuse ◽  
Transmission Power ◽  
Secondary Users ◽  
Primary Users ◽  
Management Protocol ◽  
Hoc Networks

This work investigates the problem of managing the transmission power and assigning channels for multi-channel single-radio Cognitive Radio Ad-Hoc Networks (CRAHNs). The considered network consists of M primary users and N secondary users, where the secondary users can use the licensed channels opportunistically when they are not utilized by the primary users. The secondary users have the capability of sensing the licensed channels and determine their occupation status. They are also able to control their transmission power such that the transmitted data can be received with high quality-of-service with the lowest possible transmission power, and minimum interference among the secondary users. This also contributes in increasing the frequency spatial reuse of the licensed channels by the secondary users, when the channels are unoccupied, which increases the network throughput. This work proposes a channel assignment algorithm aims at assigning the unoccupied licensed channels among secondary users efficiently, and a transmission power control aims at tuning the transmission power used by the secondary users to maximize the network throughput. The results show an enhancement achieved by the proposed protocol when it is integrated to the considered network, which is seen through increasing the network throughput and decreasing in the access delay. In this context, the Network Simulator 2 (NS2) was used to verify our proposed protocol, which indicates a significant enhancement in network performance

Increasing network throughput by integrating protocol layers

1993 ◽  
Vol 1 (5) ◽  
pp. 600-610 ◽  
Author(s):  
M.B. Abbott ◽  
L.L. Peterson
Keyword(s):  
Network Throughput

Towards Federation and Interoperability of Cloud Storage Systems

2013 ◽  
pp. 60-71 ◽  
Author(s):  
Sebastian Dippl ◽  
Michael C. Jaeger ◽  
Achim Luhn ◽  
Alexandra Shulman-Peleg ◽  
Gil Vernik
Keyword(s):  
Big Data ◽  
Cloud Storage ◽  
Storage Systems ◽  
Network Throughput ◽  
Use Cases ◽  
Single System ◽  
Cloud Systems ◽  
Logical Conclusion ◽  
Big Data Applications ◽  
Distributed Cloud

While it is common to use storage in a cloud-based manner, the question of true interoperability is rarely fully addressed. This question becomes even more relevant since the steadily growing amount of data that needs to be stored will supersede the capacity of a single system in terms of resources, availability, and network throughput quite soon. The logical conclusion is that a network of systems needs to be created that is able to cope with the requirements of big data applications and data deluge scenarios. This chapter shows how federation and interoperability will fit into a cloud storage scenario. The authors take a look at the challenges that federation imposes on autonomous, heterogeneous, and distributed cloud systems, and present approaches that help deal with the special requirements introduced by the VISION Cloud use cases from healthcare, media, telecommunications, and enterprise domains. Finally, the authors give an overview on how VISION Cloud addresses these requirements in its research scenarios and architecture.

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