scholarly journals Survey on TYDER Based Algorithm for Radio Resource Allocation in 5G Heterogeneous Scenarios

2020 ◽  
Author(s):  
Premi A ◽  
Rajakumar S
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
Mobile Networks ◽  
Base Station ◽  
Radio Resource ◽  
Machine To Machine ◽  
Generation Network ◽  
Radio Resources ◽  
Massive Number

The rapid growth of machine-to-machine communications in cellular networks poses the challenge of meeting the various Quality-of-Service requirements of massive number of machine to machine communications devices with limited radio resources. In this study, we discuss the minimum resource allocation problem for M2M communications through 5G and beyond the cellular networks. Then, in 5G mobile networks we propose a TYDER based algorithm for allocation the radio resource. The next-generation network environment, associated with heterogeneous performance, is expected to include the networks of diverse types. This paper introduces the network Traffic Type-based Differentiated Reputation (TYDER) solution, which differentiates the data delivery process according to its type.This approach however requires creativity in the reduction of hardware and cost decrease in the plan of little cell base station.

scholarly journals Resource allocation strategies in cognitive radio D2D communication networks

2021 ◽  
Author(s):  
Ajmery Sultana
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Power Allocation ◽  
Cellular Networks ◽  
Base Station ◽  
D2d Communication ◽  
Maximization Problem ◽  
Radio Resource ◽  
Allocation Algorithm ◽  
Allocation Strategies

Device-to-device (D2D) communication is developed as a new paradigm to enhance net- work performance according to LTE and WiMAX advanced standards. On the other hand, cognitive radio (CR) approach provides efficient spectral usage using intelligent wireless nodes. In this thesis, a number of optimal resource allocation strategies for D2D communi- cation networks are investigated using the CR approach. As a first step, the CR approach in radio access networks is introduced. In the second step, the taxonomy of the RA process in CRNs is provided. For radio resource allocation (RRA), the most crucial task is to associate a user with a particular serving base station, to assign the channel and to allocate the power efficiently. In this thesis, a subcarrier assignment scheme and a power allocation algorithm using geometric water-filling (GWF) is presented for orthogonal frequency division multiplexing (OFDM) based CRNs. This algorithm is proved to maximize the sum rate of secondary users by allocating power more efficiently. Then, the RA problem is studied to jointly employ CR technology and D2D communication in cellular networks in terms of spectral efficiency (SE) and energy efficiency (EE). In the first case, in terms of SE, a two-stage approach is considered to allocate the radio resource efficiently where a new adaptive subcarrier allocation (ASA) scheme is designed first and then a novel power allocation (PA) scheme is developed utilizing proven GWF approach that can compute exact solution with less computation. In the second case, in terms of EE, the power allocation problem of cellular networks that co-exist with D2D communication considering both underlay and overlay CR approaches are investigated. A proven power allocation algorithm based on GWF approach is utilized to solve the EE maximization problem which results in an “exact" and “low complexity" solution.

scholarly journals Developing a Video Buffer Framework for Video Streaming in Cellular Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Saba Qasim Jabbar ◽  
Dheyaa Jasim Kadhim ◽  
Yu Li
Keyword(s):  
Outage Probability ◽  
Video Streaming ◽  
Cellular Networks ◽  
Quality Of Experience ◽  
Video Quality ◽  
Base Station ◽  
System Throughput ◽  
Selection Algorithm ◽  
Radio Resources

This work proposes a new video buffer framework (VBF) to acquire a favorable quality of experience (QoE) for video streaming in cellular networks. The proposed framework consists of three main parts: client selection algorithm, categorization method, and distribution mechanism. The client selection algorithm was named independent client selection algorithm (ICSA), which is proposed to select the best clients who have less interfering effects on video quality and recognize the clients’ urgency based on buffer occupancy level. In the categorization method, each frame in the video buffer is given a specific number for better estimation of the playout outage probability, so it can efficiently handle so many frames from different videos at different bitrates. Meanwhile, at the proposed distribution mechanism, a predetermined threshold value is selected for lower and upper levels of playout outage probability. Then, the control unit at the base station will distribute the radio resources and decide the minimum rate requirement based on clients’ urgency categories. Simulation results showed that the VBF grantees fairness of resources distribution among different clients within the same cellular network while minimizing the interruption duration and controlling the video buffer at an acceptable level. Also, the results showed that the system throughput of the proposed framework outperforms other existing algorithms such as playout buffer and discontinuous reception aware scheduling (PBDAS), maximum carrier-to-interface ratio (MAX-CIR), and proportional fair (PF) due to enhancing the quality of experience for video streaming by increasing the radio resources in fairness manner.

scholarly journals Resource allocation strategies in cognitive radio D2D communication networks

2021 ◽  
Author(s):  
Ajmery Sultana
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Power Allocation ◽  
Cellular Networks ◽  
Base Station ◽  
D2d Communication ◽  
Maximization Problem ◽  
Radio Resource ◽  
Allocation Algorithm ◽  
Allocation Strategies

Device-to-device (D2D) communication is developed as a new paradigm to enhance net- work performance according to LTE and WiMAX advanced standards. On the other hand, cognitive radio (CR) approach provides efficient spectral usage using intelligent wireless nodes. In this thesis, a number of optimal resource allocation strategies for D2D communi- cation networks are investigated using the CR approach. As a first step, the CR approach in radio access networks is introduced. In the second step, the taxonomy of the RA process in CRNs is provided. For radio resource allocation (RRA), the most crucial task is to associate a user with a particular serving base station, to assign the channel and to allocate the power efficiently. In this thesis, a subcarrier assignment scheme and a power allocation algorithm using geometric water-filling (GWF) is presented for orthogonal frequency division multiplexing (OFDM) based CRNs. This algorithm is proved to maximize the sum rate of secondary users by allocating power more efficiently. Then, the RA problem is studied to jointly employ CR technology and D2D communication in cellular networks in terms of spectral efficiency (SE) and energy efficiency (EE). In the first case, in terms of SE, a two-stage approach is considered to allocate the radio resource efficiently where a new adaptive subcarrier allocation (ASA) scheme is designed first and then a novel power allocation (PA) scheme is developed utilizing proven GWF approach that can compute exact solution with less computation. In the second case, in terms of EE, the power allocation problem of cellular networks that co-exist with D2D communication considering both underlay and overlay CR approaches are investigated. A proven power allocation algorithm based on GWF approach is utilized to solve the EE maximization problem which results in an “exact" and “low complexity" solution.

scholarly journals D2D Assisted Cellular Networks in Licensed and Unlicensed Spectrum: Matching-Iteration-Based Joint User Access and Resource Allocation

Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 80
Author(s):  
Qiuqi Han ◽  
Guangyuan Zheng ◽  
Chen Xu
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
System Capacity ◽  
System Throughput ◽  
Unlicensed Spectrum ◽  
Resource Allocation Algorithm ◽  
User Access ◽  
Limited Spectrum

Device-to-Device (D2D) communications, which enable direct communication between nearby user devices over the licensed spectrum, have been considered a key technique to improve spectral efficiency and system throughput in cellular networks (CNs). However, the limited spectrum resources cannot be sufficient to support more cellular users (CUs) and D2D users to meet the growth of the traffic data in future wireless networks. Therefore, Long-Term Evolution-Unlicensed (LTE-U) and D2D-Unlicensed (D2D-U) technologies have been proposed to further enhance system capacity by extending the CUs and D2D users on the unlicensed spectrum for communications. In this paper, we consider an LTE network where the CUs and D2D users are allowed to share the unlicensed spectrum with Wi-Fi users. To maximize the sum rate of all users while guaranteeing each user’s quality of service (QoS), we jointly consider user access and resource allocation. To tackle the formulated problem, we propose a matching-iteration-based joint user access and resource allocation algorithm. Simulation results show that the proposed algorithm can significantly improve system throughput compared to the other benchmark algorithms.

scholarly journals Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210310 ◽  
Author(s):  
Maharazu Mamman ◽  
Zurina Mohd Hanapi ◽  
Azizol Abdullah ◽  
Abdullah Muhammed
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Radio Resource Allocation ◽  
Service Class ◽  
Radio Resource ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

scholarly journals Big Data-Driven Cellular Information Detection and Coverage Identification

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 937 ◽  
Author(s):  
Hai Wang ◽  
Su Xie ◽  
Ke Li ◽  
M. Ahmad
Keyword(s):  
Big Data ◽  
Mobile Networks ◽  
Network Optimization ◽  
Base Station ◽  
Data Driven ◽  
Related Data ◽  
Massive Number ◽  
Information Detection ◽  
Conventional Methods ◽  
Wireless Network Optimization

As one of the core data assets of telecom operators, base station almanac (BSA) plays an important role in the operation and maintenance of mobile networks. It is also an important source of data for the location-based service (LBS) providers. However, it is always less timely updated, nor it is accurate enough. Besides, it is not open to third parties. Conventional methods detect only the location of the base station (BS) which cannot satisfy the needs of network optimization and maintenance. Because of these drawbacks, in this paper, a big-data driven method of BSA information detection and cellular coverage identification is proposed. With the help of network-related data crowd sensed from the massive number of smartphone users in the live network, the algorithm can estimate more parameters of BSA with higher accuracy than conventional methods. The coverage capability of each cell was also identified in a granularity of small geographical grids. Computational results validate the proposed algorithm with higher performance and detection ability over the existing ones. The new method can be expected to improve the scope, accuracy, and timeliness of BSA, serving for wireless network optimization and maintenance as well as LBS service.

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