scholarly journals Resource Allocation Algorithm Based on Power Control and Dynamic Transmission Protocol Configuration for HAPS-IMT Integrated System

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 44
Author(s):  
Li Wang ◽  
Xiaoyan Zhao ◽  
Cheng Wang ◽  
Weidong Wang
Keyword(s):  
Resource Allocation ◽  
Power Control ◽  
User Satisfaction ◽  
System Performance ◽  
Spectrum Sharing ◽  
Integrated System ◽  
Frame Structure ◽  
Transmission Protocol ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

The high altitude platform station (HAPS) system is an essential component of the air-based network. It can shorten transmission delay and make a better user experience compared with satellite networks, and it can also be easily deployed and cover a larger area compared with international mobile telecommunications (IMT). In order to meet the needs of users with asymmetric and random data flow, the spectrum sharing and dynamic time division duplexing (TDD) mode are used in HAPS-IMT heterogeneous network. However, the cross-link interference brought by TDD mode will lead to the degradation of system performance. In this paper, a resource allocation algorithm based on power control and dynamic transmission protocol configuration is proposed. Firstly, a specific timeslot, “low power almost-bank subframe (LP-ABS)”, is introduced into the frame structure of the HAPS physical layer. The transmission protocol designing could mitigate inter-layer interference efficiently by power control in “LP-ABS”. Secondly, the utilization function is adopted for assessing the system performance, which gives attention to both diversified requirements on the quality of services (QoS) and the throughput of the HAPS-IMT system. Simulation results show that power control and resource allocation technologies proposed in this paper can effectively improve system performance and user satisfaction.

scholarly journals Greedy Based Radio Resource Allocation Algorithm with Water Filling Power Control Scheme in D2D Underlaying Communication

2021 ◽  
Author(s):  
Rezha Aulia Riyanda ◽  
Nachwan Mufti Adriansyah ◽  
Vinsensius Sigit Widhi Prabowo
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Power Control ◽  
Greedy Algorithm ◽  
Spectral Efficiency ◽  
Channel Condition ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Control Scheme ◽  
Water Filling

Device to Device (D2D) is communication between two devices directly without the intervention of eNodeB.This communication can improve sum-rate, spectral efficiency, and decrease the workload of eNodeBbecause using the same spectrum frequency with Cellular User Equipment (CUE). But this communicationshould use the same resource simultaneously with CUE which is called D2D underlaying. This sharingresources also causes interference and should be managed using the resource allocation algorithm. In thiswork, the resource allocation is allocated in a single cell and uplink communication using joint greedyalgorithm with water filling power control scheme. This algorithm is compared with greedy, joint greedy,and greedy algorithm with water filling power control scheme. Joint greedy algorithm works based on thecapacity of eNodeB and D2D pair. While in water filling power control, the power of the user is managedbased on the channel condition and impact to energy efficiency. After all the resource is allocated, theparameter performance of the system is calculated, such as spectral efficiency, energy efficiency, and D2Dfairness. From the simulation result, joint greedy algorithm with water filling power control scheme result29,34 bps/Hz in spectral efficiency, 0.939 x 107 bps/watt in energy efficiency, and 0,996 in D2D fairness.

scholarly journals A Game-Theoretic Based Resource Allocation Strategy for Cloud Computing Services

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Wang Yan ◽  
Wang Jinkuan ◽  
Sun Jinghao
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Nash Equilibrium ◽  
System Performance ◽  
Nash Bargaining ◽  
Noncooperative Game ◽  
Allocation Strategy ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Computing Services

We propose an economics-oriented cloud computing resources allocation strategy with the use of game theory. Then we develop a resource allocation algorithm named NCGRAA (noncooperative game resource allocation algorithm) to search the Nash equilibrium solution that makes the utility of various resource providers achieve optimum. We also propose an algorithm named BGRAA (bargaining game resource allocation algorithm) to further increase the overall revenue with the constraints of efficiency and fairness. Based on numerical results, we discuss the influence of NCGRAA and BGRAA for the utility of resource on the system performance. It shows that the choice of parameters of the two algorithms is significant in improving the system performance and converging to the Nash equilibrium and Nash bargaining.

Low-Complexity Resource Allocation Algorithm for Multicell OFDMA System

2013 ◽  
Vol E96.B (5) ◽  
pp. 1218-1221 ◽  
Author(s):  
Qingli ZHAO ◽  
Fangjiong CHEN ◽  
Sujuan XIONG ◽  
Gang WEI
Keyword(s):  
Resource Allocation ◽  
Low Complexity ◽  
Ofdma System ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm
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