scholarly journals Ultrahigh-Dimensional Model and Optimization Algorithm for Resource Allocation in Large-Scale Intelligent D2D Communication System

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Minxin Liang ◽  
Jiandong Liu ◽  
Jinrui Tang ◽  
Ruoli Tang
Keyword(s):  
Resource Allocation ◽  
Communication System ◽  
Large Scale ◽  
Novel Mutation ◽  
Pso Algorithm ◽  
Spectrum Efficiency ◽  
D2d Communication ◽  
Allocation Model ◽  
User Grouping ◽  
Mutation Strategies

The optimal resource allocation in the large-scale intelligent device-to-device (D2D) communication system is of great importance for improving system spectrum efficiency and ensuring communication quality. In this study, the D2D resource allocation is modelled as an ultrahigh-dimensional optimization (UHDO) problem with thousands of binary dimensionalities. Then, for efficiently optimizing this UHDO problem, the coupling relationships among those dimensionalities are comprehensively analysed, and several efficient variable-grouping strategies are developed, i.e., cellular user grouping (CU-grouping), D2D pair grouping (DP-grouping), and random grouping (R-grouping). In addition, a novel evolutionary algorithm called the cooperatively coevolving particle swarm optimization with variable-grouping (VGCC-PSO) is developed, in which a novel mutation operation is introduced for ensuring fast satisfaction of constraints. Finally, the proposed UHDO-based allocation model and VGCC-PSO algorithm as well as the grouping and mutation strategies are verified by a comprehensive set of case studies. Simulation results show that the developed VGCC-PSO algorithm performs the best in optimizing the UHDO model with up to 6000 dimensionalities. According to our study, the proposed methodology can effectively overcome the “curse of dimensionality” and optimally allocate the resources with high accuracy and robustness.

Research on the Resource Allocation Model for the Satellite Constellation Communication System

2010 ◽  
Vol 121-122 ◽  
pp. 669-677 ◽  
Author(s):  
Li Li Zhu ◽  
Yi Feng Duan
Keyword(s):  
Resource Allocation ◽  
Communication System ◽  
Large Scale ◽  
Mathematic Model ◽  
New Paradigm ◽  
Allocation Model ◽  
Satellite Constellation ◽  
Spatially Distributed ◽  
Degree Of Satisfaction ◽  
Task Oriented

Satellite constellation, emerging as a new paradigm for next-generation communicating, enables large-scale application of the geographically and spatially distributed heterogeneous resources for solving problems in science, engineering, and military affairs. The resource allocation in such a large-scale distributed environment is a complex task. Due to the factors that trigger the deployment of resources in satellite constellation communication system, the artificial immune theory is applied to resource allocation field to propose the task-oriented common mathematic model about resource allocation of communication system, which is aimed at the purpose of improving the effectiveness of resource allocation and is based on the 2 important indicators that are communication task’s effectiveness factors and the degree of satisfaction in the communication system. As the immune system has characteristics of self-adaptive, self-learning and self-organization, an immune allocation algorithm that fuzzy processing time is presented by applying the immune theory to resource allocation. Simulation results show that these methods are feasible and efficient in solving the problems of resource allocation for satellite constellation communication system, and the research on this object is a meaningful exploring.

scholarly journals Non-Orthogonal Resource Sharing Optimization for D2D Communication in LTE-A Cellular Networks: A Fractional Frequency Reuse-Based Approach

Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 238 ◽  
Author(s):  
Devarani Devi Ningombam ◽  
Seokjoo Shin
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
Resource Sharing ◽  
System Performance ◽  
Frequency Reuse ◽  
Spectrum Efficiency ◽  
D2d Communication ◽  
Traffic Load ◽  
Fractional Frequency Reuse ◽  
Fractional Frequency

To handle the fast-growing demand for high data rate applications, the capacity of cellular networks should be reinforced. However, the available radio resources in cellular networks are scarce, and their formulation is expensive. The state-of-the art solution to this problem is a new local networking technology known as the device-to-device (D2D) communication. D2D communications have great capability in achieving outstanding performance by reusing the existing uplink cellular channel resources. In D2D communication, two devices in close proximity can communicate directly without traversing data traffic through the evolved-NodeB (eNB). This results in a reduced traffic load to the eNB, reduced end-to-end delay, and improved spectral efficiency and system performance. However, enabling D2D communication in an LTE-Advanced (LTE-A) cellular network causes severe interference to traditional cellular users and D2D pairs. To maintain the quality of service (QoS) of the cellular users and D2D pairs and reduce the interference, we propose a distance-based resource allocation and power control scheme using fractional frequency reuse (FFR) technique. We calculate the system outage probability, total throughput and spectrum efficiency for both cellular users and D2D pairs in terms of their signal-to-interference-plus-noise ratio (SINR). Our simulation results show that the proposed scheme reduces interference significantly and improves system performance compared to the random resource allocation (RRA) and resource allocation (RA) without sectorization scheme.

scholarly journals Cloud based Cost Effective Resource Allocation Model for Software-as-a-service Deployments

2013 ◽  
Vol 9 (2) ◽  
pp. 1068-1079
Author(s):  
Ibrahim A. Cheema ◽  
Mudassar Ahmad ◽  
Fahad Jan ◽  
Shahla Asadi
Keyword(s):  
Resource Allocation ◽  
Large Scale ◽  
Service Providers ◽  
Cost Effective ◽  
Software As A Service ◽  
Allocation Model ◽  
Application Service Providers ◽  
Resource Allocation Model ◽  
Application Service ◽  
Cloud Infrastructures

The Cloud Computing (CC) provides access to the resources with usage based payments model. The application service providers can seamlessly scale the services. In CC infrastructure, a different number of virtual machine instances can be created depending on the application requirements. The capability to scale Software-as-a-Service (SaaS) application is very attractive to the providers because of the potential to scale application resources to up or down, the user only pay for the resources required. Even though the large-scale applications are deployed on cloud infrastructures on pay-per-use basis, the cost of idle resources (memory, CPU) is still charged to application providers. The issues of saturation and wastage of cloud resources are still unresolved. This paper attempts to propose the resource allocation models for SaaS applications deployments over CC platforms. The best balanced resource allocation model is proposed keeping in view cost and user requirements.

scholarly journals Research on PDMA communication system based on Complete Complementary Sequence

2020 ◽  
Author(s):  
Shufeng Li ◽  
Baoxin Su ◽  
Libiao Jin
Keyword(s):  
Power Allocation ◽  
Spread Spectrum ◽  
Communication System ◽  
Multiple Access ◽  
Large Scale ◽  
Average Power ◽  
Spectrum Efficiency ◽  
System Model ◽  
Complementary Sequence ◽  
Allocation Algorithm

Abstract Pattern division multiple access (PDMA) is a new non-orthogonal multiple access (NOMA) technology. It is proposed to meet the challenge of 5G large-scale connectivity and high-frequency spectral efficiency. Compared with traditional orthogonal multiple access (OMA), PDMA can support more users through the allocation of non-orthogonal resources. Due to perfect aperiodic correlation, complete complementary sequence (CCS) greatly improves the spectrum efficiency of the system. It has been widely used in wireless communication and radar sensing, and it still has research value in 5G. In order to apply the advantages of CCS to NOMA communication system, this paper proposes a system model of CCS spread spectrum coding based on PDMA. CCS is used as spread spectrum code to improve the performance of PDMA communication system. At the same time, on the basis of spread spectrum technology, this paper analyzes the average power allocation algorithm and water-filling power allocation algorithm, and a dynamic power allocation algorithm based on the transmission rate and practical application is proposed. The simulation results show that the system model can effectively improve the performance of the system.

scholarly journals Challenges and Solutions on Interference Management in D2D System of Cellular Network

2021 ◽  
Vol 19 ◽  
pp. 215-222
Author(s):  
Nusrat Jahan ◽  
Ashikur Rahman Khan ◽  
Main Uddin ◽  
Mahamudul Hasan Rana
Keyword(s):  
Resource Allocation ◽  
Power Control ◽  
Communication System ◽  
Cellular Network ◽  
Selection Process ◽  
Mode Selection ◽  
Interference Management ◽  
D2d Communication ◽  
Proper Power ◽  
Control Spectrum

A single bidirectional link is used to allow communication between two devices in the device-todevice (D2D) communication system. D2D technology has to implement with the current cellular system. As both users D2D and cellular use the same licensed spectrum for transmission the chances of interferences increases. It is challenging for researchers to find out the proper mechanism to decrease interference and maximize performances. In this paper, we try to survey the challenges and their solutions to enable D2D communication in the cellular network with low interference. Here we describe the peer discover, mode selection process and interference management with power control and resource allocation. Finally, we can say that with proper power control, spectrum slicing and resource allocation we can mitigate co-tier and cross-tier interferences.

Sign in / Sign up

Export Citation Format

Share Document