Data Traffic Models for Broadband Backbone in 5G Networks

2021 ◽  
Author(s):  
Elena P. Ivanova ◽  
Ivelin Penkov ◽  
Teodor B. Iliev ◽  
Ivaylo S. Stoyanov
Keyword(s):  
Data Traffic ◽  
5G Networks ◽  
Traffic Models

scholarly journals Code Domain Non- Orthogonal Multiple Access Schemes for 5G and Beyond Communication Networks: A Review

2021 ◽  
Author(s):  
Aasheesh Shukla ◽  
◽  
Manish Kumar ◽  
Vinay Kumar Deolia ◽  
◽  
...  
Keyword(s):  
Communication Networks ◽  
Multiple Access ◽  
Heterogeneous Data ◽  
Data Traffic ◽  
5G Networks ◽  
Comprehensive Overview ◽  
Power Domain ◽  
Rate Splitting ◽  
Code Domain ◽  
Multiple Access Schemes

Future communication networks may encounter various issues in order to facilitate heavy heterogeneous data traffic and large number of users, therefore more advanced multiple access (MA) schemes are being developed to meet the changing requirements. The research space on making more robust MA scheme is continuously increasing, so it becomes significant to analyze the various schemes to determine the appropriate MA scheme for 5G networks. Therefore, in this paper the comprehensive overview of the most popular and recent MA schemes is presented for 5G networks. This paper mainly classifies the MA techniques in orthogonal MA (OMA) and various types of non-OMA (NOMA) techniques. Specifically, we introduce RSMA (Rate splitting multiple access) and IDMA (interleave division multiple access). Further the close attention is paid to NOMA family, including code-domain NOMA (e.g., SCMA (sparse code multiple access)), power-domain NOMA. Above all, from this exploration, the opportunities and challenges could be notified in MA schemes and further the optimum MA technique can be point out among discussed MA schemes for 5G and beyond communication networks.

scholarly journals Role of 5G Networks: Issues, Challenges and Applications

2019 ◽  
Vol 8 (6) ◽  
pp. 3172-3178
Keyword(s):  
Daily Life ◽  
Handheld Devices ◽  
Network Technology ◽  
Data Traffic ◽  
5G Networks ◽  
Data Rates ◽  
5G Network ◽  
Day By Day

Due to revolutionary development in electronic and communication, mobile and handheld devices become the part of our daily life. As a result, volume of data traffic on Internet is increasing day by day. To provide unlimited, uninterrupted and content-rich services to these devices, the 5th Generation (5G) of network technology is emerged. 5G network can provide better Quality of Service (QoS) along with higher data rates than 4G network and have least latency. The paper appraisals various generations of wireless networks. Furthermore, it explores various challenges in implementation of 5G network and application areas of 5G network

scholarly journals Energy Efficient and Delay Aware 5G Multi-Tier Network

2019 ◽  
Vol 11 (9) ◽  
pp. 1019
Author(s):  
Nahina Islam ◽  
Ammar Alazab ◽  
Johnson Agbinya
Keyword(s):  
Energy Efficiency ◽  
Mobile Network ◽  
Base Station ◽  
Small Cells ◽  
Sleep Mode ◽  
Indoor Environments ◽  
Data Traffic ◽  
5G Networks ◽  
Energy Expenditures ◽  
Markov Decision

Multi-tier heterogeneous Networks (HetNets) with dense deployment of small cells in 5G networks are expected to effectively meet the ever increasing data traffic demands and offer improved coverage in indoor environments. However, HetNets are raising major concerns to mobile network operators such as complex distributed control plane management, handover management issue, increases latency and increased energy expenditures. Sleep mode implementation in multi-tier 5G networks has proven to be a very good approach for reducing energy expenditures. In this paper, a Markov Decision Process (MDP)-based algorithm is proposed to switch between three different power consumption modes of a base station (BS) for improving the energy efficiency and reducing latency in 5G networks. The MDP-based approach intelligently switches between the states of the BS based on the offered traffic while maintaining a prescribed minimum channel rate per user. Simulation results show that the proposed MDP algorithm together with the three-state BSs results in a significant gain in terms of energy efficiency and latency.

scholarly journals Allied Power Constraint Optimization and Optimal Beam Tracking Scheme for Mobile mmWave Massive MIMO Communications

2021 ◽  
Author(s):  
Joydev Ghosh ◽  
In-Ho Ra ◽  
Saurabh Singh ◽  
Huseyin Haci ◽  
Khaled AlUtaibi ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Channel Model ◽  
Total Power ◽  
Constraint Optimization ◽  
Data Traffic ◽  
5G Networks ◽  
Power Constraint ◽  
Mimo Communications ◽  
Optimal Beam ◽  
Beam Tracking

<div>The fifth generation (5G) networks and internet of things (IoT) promise to transform our lives by enabling various new applications from driver-less cars to smart cities. These applications will introduce enormous amount of data traffic and number of connected devices in addition to the current wireless networks. Thus 5G networks require many researches to develop novel telecommunication technologies to accommodate these increase in data traffic and connected devices. In this paper, novel power constraint optimization and optimal beam tracking schemes are proposed for mobile mmWave massive MIMO communications. A recently published novel channel model that is different from other widely used ones is considered. The channel model considers the number of clusters and number of rays within each cluster as varying due to user mobility. The proposed power constraint optimization scheme harmonizes conventional total power constraint (TPC) and uniform power constraint (UPC) schemes into a new one called allied power constraint (APC) that can significantly improve the system performance in 5G networks while achieving fairness among users. TPC and UPC have major drawbacks with respect to fairness and achieving quality-of-service (QoS) for users in dense networks. Thus APC aims to harmonize TPC and UPC by adjusting each antenna element’s constraint to adapt for some power resilience to a specific antenna element, hence proposing an intermediate solution between the two extreme case power constraint optimization schemes. Three optimal beam tracking schemes: (i) conventional exhaustive search (CES), (ii) multiobjective joint optimization codebook (MJOC), and (iii) linear hybrid combiner (LHS) scheme, have been provided for the mobile mmWave massive MIMO system with the proposed APC scheme. For the proposed APC scheme a comprehensive performance analysis is provided and compared with TPC and UPC. Spectral efficiency (SE), bit-error-rate (BER), Jain’s fairness index, channel occupancy ratio (COR) and instantaneous interfering power metrics are investigated. It has been shown that the proposed scheme can significantly outperform conventional schemes.</div>

scholarly journals An Optimal Routing Algorithm in Service Customized 5G Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Haipeng Yao ◽  
Chao Fang ◽  
Yiru Guo ◽  
Chenglin Zhao
Keyword(s):  
Big Data ◽  
Network Architecture ◽  
Network Performance ◽  
Routing Algorithm ◽  
Optimal Routing ◽  
Cache Replacement ◽  
Data Traffic ◽  
Average Response ◽  
5G Networks ◽  
Content Centric Networking

With the widespread use of Internet, the scale of mobile data traffic grows explosively, which makes 5G networks in cellular networks become a growing concern. Recently, the ideas related to future network, for example, Software Defined Networking (SDN), Content-Centric Networking (CCN), and Big Data, have drawn more and more attention. In this paper, we propose a service-customized 5G network architecture by introducing the ideas of separation between control plane and data plane, in-network caching, and Big Data processing and analysis to resolve the problems traditional cellular radio networks face. Moreover, we design an optimal routing algorithm for this architecture, which can minimize average response hops in the network. Simulation results reveal that, by introducing the cache, the network performance can be obviously improved in different network conditions compared to the scenario without a cache. In addition, we explore the change of cache hit rate and average response hops under different cache replacement policies, cache sizes, content popularity, and network topologies, respectively.

scholarly journals Allied Power Constraint Optimization and Optimal Beam Tracking Scheme for Mobile mmWave Massive MIMO Communications

2021 ◽  
Author(s):  
Joydev Ghosh ◽  
In-Ho Ra ◽  
Saurabh Singh ◽  
Huseyin Haci ◽  
Khaled AlUtaibi ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Channel Model ◽  
Total Power ◽  
Constraint Optimization ◽  
Data Traffic ◽  
5G Networks ◽  
Power Constraint ◽  
Mimo Communications ◽  
Optimal Beam ◽  
Beam Tracking

<div>The fifth generation (5G) networks and internet of things (IoT) promise to transform our lives by enabling various new applications from driver-less cars to smart cities. These applications will introduce enormous amount of data traffic and number of connected devices in addition to the current wireless networks. Thus 5G networks require many researches to develop novel telecommunication technologies to accommodate these increase in data traffic and connected devices. In this paper, novel power constraint optimization and optimal beam tracking schemes are proposed for mobile mmWave massive MIMO communications. A recently published novel channel model that is different from other widely used ones is considered. The channel model considers the number of clusters and number of rays within each cluster as varying due to user mobility. The proposed power constraint optimization scheme harmonizes conventional total power constraint (TPC) and uniform power constraint (UPC) schemes into a new one called allied power constraint (APC) that can significantly improve the system performance in 5G networks while achieving fairness among users. TPC and UPC have major drawbacks with respect to fairness and achieving quality-of-service (QoS) for users in dense networks. Thus APC aims to harmonize TPC and UPC by adjusting each antenna element’s constraint to adapt for some power resilience to a specific antenna element, hence proposing an intermediate solution between the two extreme case power constraint optimization schemes. Three optimal beam tracking schemes: (i) conventional exhaustive search (CES), (ii) multiobjective joint optimization codebook (MJOC), and (iii) linear hybrid combiner (LHS) scheme, have been provided for the mobile mmWave massive MIMO system with the proposed APC scheme. For the proposed APC scheme a comprehensive performance analysis is provided and compared with TPC and UPC. Spectral efficiency (SE), bit-error-rate (BER), Jain’s fairness index, channel occupancy ratio (COR) and instantaneous interfering power metrics are investigated. It has been shown that the proposed scheme can significantly outperform conventional schemes.</div>

scholarly journals QoS Management in WSN-MCN Convergence Network Using Priority Based Traffic Models

2018 ◽  
Vol 12 (3) ◽  
pp. 1159
Author(s):  
Anita Swain ◽  
Arun Kumar Ray
Keyword(s):  
Blocking Probability ◽  
Wireless Sensor ◽  
Data Traffic ◽  
Mac Layer ◽  
Preemptive Priority ◽  
M2m Communication ◽  
Traffic Models ◽  
Qos Management ◽  
Mobile Cellular ◽  
Convergence Network

Technological advancements and increased developments leads to increase the development of hand-held devices which encourage the growth of Machine-to-Machine (M2M) communication. In this context devices belongs to heterogeneous network require a common platform to meet the challenges of data centric wireless services and applications. To satisfy the needs of M2M communication, Mobile Cellular Network (MCN) and Wireless Sensor Network (WSN) converged to a single platform. In this paper two priority models has been proposed with non preemptive priority and preemptive priority to analyze the data traffic at MAC layer of the converged network. The performance matrices are determined to maintain QoS in terms of reduced dropping and blocking probability, waiting time in the queue etc. Finally, the proposed models are compared in terms of QoS factors.

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