Dissertation > Excellent graduate degree dissertation topics show

MF-TDMA system under the Resource Allocation Algorithm

Author: YangJie
Tutor: GuoWei
School: University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Altitude platform MF-TDMA Multi-user, multi- priority Genetic simulated annealing algorithm Resource allocation
CLC: TN929.532
Type: Master's thesis
Year: 2011
Downloads: 65
Quote: 0
Read: Download Dissertation

Abstract


Stratospheric communications platform referred to as high-altitude platform is located in a satellite communication system, special high-altitude aircraft (such as aircraft, airship, hot air balloons, etc.), terrestrial wireless mobile communications relay system between the high-altitude communications platform, multiple high-altitude platform for intelligent networking or terrestrial wireless mobile communication system network, together with modern satellite communication systems and cellular mobile communication systems constitute the three important communication system, to the space for the ground-based communications systems, the extension of the fixed terminal to mobile terminal provides important support. The main technology of the system need to be addressed is the multiple access technology and its control strategy and resource allocation algorithm. Reasonable choice of multiple access technologies and mature resource allocation algorithm is an important guarantee of the system high reliability, efficient operation and improve the utilization of system resources. Therefore, on the basis of the analysis of high-altitude platform network architecture, multiple access technology, and resource allocation algorithm, the completion of the resource allocation algorithm in the the designated frame structure under design, to enhance the system performance of a stratospheric communications platform. Stratospheric high-altitude platform needs to be done to support multi-user, multi-priority access to comprehensive business to meet the needs of different users and different service level requirements. The article first introduced the logical structure and the hierarchical structure of the system architecture, high-altitude platform. Then, detailed MF-TDMA frame structure to meet the access layer index requirements based platform access subsystem. Finally, under the existing frame structure, combined with the needs of users in the high-altitude platform, designed a brand new joint distribution of genetic simulated annealing algorithm based on the channel and time slot. The joint distribution of genetic simulated annealing algorithm based on the channel and time slot is taken first channel allocation and integration of slot allocation allocation strategy, non-traditional carrier channel and time slot allocation algorithm to be considered in isolation. Separately from the traditional channel and time slot allocation algorithm, when do the carrier channel allocation can not be done globally considered and balanced result in the final allocation of resources is not optimal, the article uses global optimization genetic simulated annealing algorithm to solve this problem, and on this basis to establish a new mathematical model; Secondly, when the terminal application to reach the high-altitude platform resource management, request the allocation of resources, the start resource allocation algorithm (genetic simulated annealing algorithm), the simulation of resource allocation schematic diagram and algorithm convergence curves show that the new algorithm has some advantages; final section provides simulation with the existing algorithms performance comparison, due to the advanced nature of the model as well as algorithms for global optimization algorithms, simulation data display genetic simulated annealing algorithm for resource allocation effect is the best.

Related Dissertations

  1. Research on the Attitude Controller Design and Control Strategy of High Altitude Platform,V249.1
  2. Adaptive Adjustment of fire emergency plan,X928.7
  3. Resource allocation impact on rural governance,D422.6
  4. Optimal Resource Allocation for the Orthogonal Relay Eavesdropper Channel,TN929.5
  5. Research on Dynamic Resource Allocation Strategies for TD-LTE System,TN929.5
  6. Research on Dynamic Resources Allocation of Multi-user CR-OFDM System,TN919.3
  7. Resource Management Mechanism for QoS in Cognitive Networks,TN915.09
  8. Broadband wireless communications multi-user scheduling and diversity techniques,TN92
  9. Shanghai World Expo , \,F713.8
  10. And medium-sized industrial enterprises in Hebei Province Technology Resource Allocation Efficiency Analysis,F224;F425
  11. Mixed steel processing operations for resource allocation method,F426.31
  12. Automated production plant simulation and optimization of resource allocation,O226
  13. Resource allocation based radar jamming Penetration Trajectory Planning Research,TN974
  14. Radar jamming and interference covering optimal allocation of resources,TN974
  15. Cooperative transmission in wireless networks research of key technologies,TN929.5
  16. Resource Allocation Strategies Based on Time Window and Critical Chain under Multi-Project Environment,F224
  17. The Quality of Accounting Informationand Its Influence on the Allocation of Capital,F832.51;F224
  18. Kashi health oversight agencies Analysis Resource Allocation,R197.1
  19. The Analysis and Evaluation of Resource Allocation of Community Health Service in Kora City of Xinjiang,R197.1
  20. Optimization on Input Operations and Management Information System Development of a Steel Plate Stacking Yard in a Shipyard,F426.474
  21. IMT-A system in consideration of the space-time QoS class frequency domain resource allocation techniques,TN929.5

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications > Cellular mobile communications systems (mobile phones, mobile phone handsets ) > Time Division Multiple Access (TDMA) mobile communications
© 2012 www.DissertationTopic.Net  Mobile