scholarly journals Effective 5G Wireless Downlink Scheduling and Resource Allocation in Cyber-Physical Systems

Technologies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 105 ◽  
Author(s):  
Ankur Vora ◽  
Kyoung-Don Kang
Keyword(s):  
Resource Allocation ◽  
Dynamic Programming Algorithm ◽  
Cyber Physical Systems ◽  
Programming Algorithm ◽  
Cross Layer ◽  
Communication Performance ◽  
Physical Systems ◽  
Downlink Scheduling ◽  
Machine Type Communication

In emerging Cyber-Physical Systems (CPS), the demand for higher communication performance and enhanced wireless connectivity is increasing fast. To address the issue, in our recent work, we proposed a dynamic programming algorithm with polynomial time complexity for effective cross-layer downlink Scheduling and Resource Allocation (SRA) considering the channel and queue state, while supporting fairness. In this paper, we extend the SRA algorithm to consider 5G use-cases, namely enhanced Machine Type Communication (eMTC), Ultra-Reliable Low Latency Communication (URLLC) and enhanced Mobile BroadBand (eMBB). In a simulation study, we evaluate the performance of our SRA algorithm in comparison to an advanced greedy cross-layer algorithm for eMTC, URLLC and LTE (long-term evolution). For eMTC and URLLC, our SRA method outperforms the greedy approach by up to 17.24%, 18.1%, 2.5% and 1.5% in terms of average goodput, correlation impact, goodput fairness and delay fairness, respectively. In the case of LTE, our approach outperforms the greedy method by 60%, 2.6% and 1.6% in terms of goodput, goodput fairness and delay fairness compared with tested baseline.

Optimization Allocation Research of Enterprise Resources Based on Dynamic Programming

2011 ◽  
Vol 55-57 ◽  
pp. 2157-2162
Author(s):  
Mei Zhang ◽  
Jing Hua Wen ◽  
Wei Xiao
Keyword(s):  
Resource Allocation ◽  
Dynamic Programming ◽  
Dynamic Programming Algorithm ◽  
Dynamic Programming Principle ◽  
Optimal Decision ◽  
Programming Algorithm ◽  
Recursion Method ◽  
Development Platform ◽  
Optimal Decision Making ◽  
Optimization Allocation

Dynamic programming algorithm is classical strategy to solve the optimization problem. The distributing of enterprise resource is a multistage decision problem, having the characteristic of dynamic programming algorithm. We establish distribution of mathematical model of planning target, using dynamic programming principle and method to divide enterprise resource allocation stage reasonably, and then we use the recursion method to structure dynamic programming equation from the bottom up. Using VC++6.0 development platform is to compute the optimal decision-making sequence and maximum of profit. Dynamic programming makes optimum resource allocation for an enterprise, and it is high application value in resource allocation.

scholarly journals Guest Editors’ Introduction: Cross-Layer Design of Cyber–Physical Systems

2021 ◽  
Vol 38 (5) ◽  
pp. 5-7
Author(s):  
Samarjit Chakraborty ◽  
Jian-Jia Chen ◽  
Anuradha Annaswamy ◽  
Devendra Rai
Keyword(s):  
Cyber Physical Systems ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Physical Systems

scholarly journals Sizing of the Propulsion System for a Heavy-Duty Fuel Cell Commercial Vehicle

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Weiguang Zheng ◽  
Weiwei Xin ◽  
Enyong Xu ◽  
Shuilong He ◽  
Jirong Qin ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Commercial Vehicle ◽  
Dynamic Programming Algorithm ◽  
Programming Algorithm ◽  
Heavy Duty ◽  
Energy Management Strategy ◽  
Price Performance

This paper presents a methodology for the sizing of a heavy-duty fuel cell commercial vehicle. The parameters scanning model and the long-term stochastic drive cycle are adopted for this proposed sizing framework. The dynamic programming algorithm is employed as the energy management strategy to assess the performance of sizing. The efficacy of this framework is evaluated, and a detailed analysis for the hydrogen consumption is given in the results. In addition, a prediction analysis based on the price performance of the next decade is also given in this work.

scholarly journals Cross-Layer Resource Allocation for Multihop V2X Communications

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Yanhua He ◽  
Liangrui Tang ◽  
Yun Ren ◽  
Jonathan Rodriguez ◽  
Shahid Mumtaz
Keyword(s):  
Resource Allocation ◽  
Power Allocation ◽  
Rate Control ◽  
Relay Selection ◽  
Superior Performance ◽  
Cross Layer ◽  
Joint Power ◽  
Resource Allocation Algorithm ◽  
Mobile Relay

Inspired by the increasingly mature vehicle-to-everything (V2X) communication technology, we propose a multihop V2X downlink transmission system to improve users’ quality of experience (QoE) in hot spots. Specifically, we develop a cross-layer resource allocation algorithm to optimize the long-term system performance while guaranteeing the stability of data queues. Lyapunov optimization is employed to transform the long-term optimization problem into a series of instantaneous subproblems, which involves the joint optimization of rate control, power allocation, and mobile relay selection at each time slot. On one hand, the optimization of rate control is decoupled and carried out independently. On the other hand, a low-complexity pricing-based stable matching algorithm is proposed to solve the joint power allocation and mobile relay selection problem. Finally, simulation results demonstrate that the proposed algorithm can achieve superior performance and simultaneously guarantee queue stability.

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