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Joint Channel and Power Allocation in Energy Harvesting-aided D2D Wireless Communication Using Matching Theory

Soleimani, Masoumeh | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52322 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin; Bayat, Siavash
  7. Abstract:
  8. Device to device communication (D2D) in cellular networks is seen as a promising thechnology to assist local communication services. It offers several gains including cellular traffic offloading gain and proximity gain of devices that allows high data rate, low power consumption, low delays and the reuse gain when cellular and D2D links are allowed to utilize same radio resources simultaneously. D2D communication is one of the key enabler for fifth generation (5G) networks. Major bottleneck in the operation of D2D communication is energy. The direct D2D communication can result in energy inefficiency as the battery powered devices are required to perform energy consuming tasks on their own in the absence of assistance form the base station (BS). Energy harvesting from ambient sources is emerging as a potential solution to power these low energy devices. Apart from suppling energy, resource allocation in D2D communication underlay cellular network is challenging when frequency reuse is allowed. Therefore resource allocation and interference management should be addressed in such a way that performance of the primary network is not degraded and overall system sum rate is enhanced. On the other hand, in wireless networks including D2D communication all agents are selfish and rational and want to solicit their maximum benefit from network without caring about other agents. Matching theory is an appropriate choise for modeling these networks. Such that it is a powerful tool to study the formation of dynamic and mutually beneficial relations among different types of rational and selfish agents. It has been widely used to develop high performance, low complexity and decentralized protocols.In this research, based on the matching theory a new distributed and stable method for jointly allocating resource and power for energy harvesting devices is proposed, such that while considering quality of service (QoS) for both cellular and D2D links , the sum rate is maximized. Then the proposed algorithm is implemented using MATLAB and compared with centralized algorithms whose results show the superiority of proposed method. It increases sum rate of network about 45% compared to random resource allocation and 20% compared to algorithm
    of article [33]
  9. Keywords:
  10. Device to Device Communications ; Power Control ; Resources Allocation ; Energy Harvesting ; Matching Theory

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