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Resource Allocation in Multi-Carrier Multiplexed NOMA Cooperative System.

Jie Zeng1,2, Jiaying Sun3, Yuxin Song4

  • 1Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.

Sensors (Basel, Switzerland)
|August 26, 2022
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This study introduces a novel user-centered Non-Orthogonal Multiple Access (NOMA) cooperative system for ultra-dense networks. The proposed resource allocation algorithms enhance system throughput and user quality of service.

Keywords:
cooperative communicationdynamic group matchingnon-orthogonal multiple accessresource allocationultra-dense networks

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Area of Science:

  • Wireless communication
  • Cooperative communication systems
  • Next-generation wireless networks

Background:

  • Non-orthogonal multiple access (NOMA) cooperative communication offers high spectrum efficiency and expanded user coverage.
  • Current research on NOMA cooperative communication is limited, primarily focusing on scenarios with fewer users.
  • Ultra-dense networks present unique challenges for resource allocation in cooperative systems.

Purpose of the Study:

  • To address the limitations of existing NOMA cooperative communication research by focusing on user-centered systems in ultra-dense networks.
  • To construct and solve a resource allocation optimization problem tailored to meet the diverse demands of users in such environments.
  • To enhance system throughput and ensure quality of service (QoS) for all users.

Main Methods:

  • Decomposition of the primary optimization problem into two subproblems: relay-user grouping and joint power/subcarrier allocation.
  • Development of a dynamic packet matching algorithm utilizing the Gale-Shapley approach for user-relay grouping.
  • Implementation of an iterative algorithm based on difference of convex functions programming for resource allocation.

Main Results:

  • The proposed algorithms effectively manage resource allocation in a user-centered NOMA cooperative system within ultra-dense networks.
  • Demonstrated improvement in system throughput compared to existing schemes.
  • Guaranteed quality of service for individual users within the network.

Conclusions:

  • The developed dynamic packet matching and iterative resource allocation algorithms are effective for NOMA cooperative communication in ultra-dense networks.
  • The approach successfully balances system throughput enhancement with the Quality of Service (QoS) requirements of users.
  • This research provides a foundation for more advanced NOMA cooperative communication strategies in future wireless systems.