scholarly journals System Throughput Maximization Subject to Delay and Time Fairness Constraints in 802.11 WLANs

2005 ◽  
Author(s):  
Yean-Fu Wen ◽  
Frank Yeong-Sung Lin ◽  
Kun-Wei Lai
Keyword(s):  
Throughput Maximization ◽  
System Throughput ◽  
Fairness Constraints ◽  
802.11 Wlans ◽  
Time Fairness

Applications of Hybrid Intelligent Systems in Adaptive Communication

2018 ◽  
pp. 1139-1173
Author(s):  
Atta ur Rahman
Keyword(s):  
Intelligent Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Code Rate ◽  
Throughput Maximization ◽  
System Throughput ◽  
Rule Base ◽  
Modulation Scheme ◽  
Base System ◽  
Transmission Parameters ◽  
Adaptive Power

Dynamic allocation of the resources for optimum utilization and throughput maximization is one of the most important fields of research nowadays. In this process the available resources are allocated in such a way that they are maximally utilized to enhance the overall system throughput. In this chapter a similar problem is approached which is found in Orthogonal Frequency Division Multiplexing (OFDM) environment, in which the transmission parameters namely the code rate, modulation scheme and power are adapted in such a way that overall system's data rate is maximized with a constrained bit error rate and transmit power. A Fuzzy Rule Base System (FRBS) is proposed for adapting the code rate and modulation scheme while Genetic Algorithm (GA) and Differential Evolution (DE) algorithm are used for adaptive power allocation. The proposed scheme is compared with other schemes in the literature including the famous Water-filling technique which is considered as a benchmark in the adaptive loading paradigm. Supremacy of the proposed technique is shown through computer simulations.

scholarly journals Secrecy Throughput Maximization for Full-Duplex Wireless Powered IoT Networks Under Fairness Constraints

2019 ◽  
Vol 6 (4) ◽  
pp. 6964-6976 ◽  
Author(s):  
Roohollah Rezaei ◽  
Sumei Sun ◽  
Xin Kang ◽  
Yong Liang Guan ◽  
Mohammad Reza Pakravan
Keyword(s):  
Throughput Maximization ◽  
Full Duplex ◽  
Fairness Constraints

Applications of Hybrid Intelligent Systems in Adaptive Communication

2018 ◽  
pp. 183-217 ◽  
Author(s):  
Atta ur Rahman
Keyword(s):  
Intelligent Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Code Rate ◽  
Throughput Maximization ◽  
System Throughput ◽  
Rule Base ◽  
Modulation Scheme ◽  
Base System ◽  
Transmission Parameters ◽  
Adaptive Power

Dynamic allocation of the resources for optimum utilization and throughput maximization is one of the most important fields of research nowadays. In this process the available resources are allocated in such a way that they are maximally utilized to enhance the overall system throughput. In this chapter a similar problem is approached which is found in Orthogonal Frequency Division Multiplexing (OFDM) environment, in which the transmission parameters namely the code rate, modulation scheme and power are adapted in such a way that overall system's data rate is maximized with a constrained bit error rate and transmit power. A Fuzzy Rule Base System (FRBS) is proposed for adapting the code rate and modulation scheme while Genetic Algorithm (GA) and Differential Evolution (DE) algorithm are used for adaptive power allocation. The proposed scheme is compared with other schemes in the literature including the famous Water-filling technique which is considered as a benchmark in the adaptive loading paradigm. Supremacy of the proposed technique is shown through computer simulations.

A Time Fairness-Based MAC Algorithm for Throughput Maximization in 802.11 Networks

2015 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Yuan Le ◽  
Liran Ma ◽  
Wei Cheng ◽  
Xiuzhen Cheng ◽  
Biao Chen
Keyword(s):  
Throughput Maximization ◽  
802.11 Networks ◽  
Time Fairness

scholarly journals Throughput Maximization for UAV-Enabled Relaying in Wireless Powered Communication Networks

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2989 ◽  
Author(s):  
Yinfeng Li ◽  
Dingcheng Yang ◽  
Yu Xu ◽  
Lin Xiao ◽  
Haole Chen
Keyword(s):  
Communication Networks ◽  
Optimal Solution ◽  
Access Point ◽  
Throughput Maximization ◽  
System Throughput ◽  
Multiple Sources ◽  
Information Causality ◽  
Suboptimal Solution ◽  
The One ◽  
Dependent Processes

This paper investigates mobile relaying in wireless powered communication networks (WPCN), where an unmanned aerial vehicle (UAV) is employed to help information delivery from multiple sources to destination with communication channels severely blocked. The sources are low-power without energy supply. To support information transmission, the UAV acts as a hybrid access point (AP) to provide wireless power transfer (WPT) and information reception for sources. We set the issue of system throughput maximization as the optimization problem. On the one hand, the system is subject to the information causality constraint due to the dependent processes of information reception and transmission for the UAV. On the other hand, the sources are constrained by a so-called neutrality constraints due to the dependent processes of energy harvesting and energy consumption. In addition, we take account of the access delay issue of all ground nodes. Specifically, two paradigms of delay-tolerant case and delay-sensitive case are presented. However, the formulated problem including optimizations for time slot scheduling, power allocation and UAV trajectory is non-convex and thus is difficult to obtain its optimal solution. To tackle this problem, we apply the successive convex approximation (SCA) technique and propose an iterative algorithm by which a suboptimal solution can be achieved. Simulation results validate our proposed design, and show that the obtained suboptimal solution is high-quality, as compared to benchmark scheme.

Sign in / Sign up

Export Citation Format

Share Document