scholarly journals Radio Resource Allocation for Device-to-Device Underlay Communication Using Hypergraph Theory

2016 ◽  
pp. 1-1 ◽  
Author(s):  
Hongliang Zhang ◽  
Lingyang Song ◽  
Zhu Han
Keyword(s):  
Resource Allocation ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Device To Device ◽  
Hypergraph Theory

scholarly journals Efficient radio resource allocation scheme for 5G networks with device-to-device communication

2021 ◽  
Vol 11 (6) ◽  
pp. 5588
Author(s):  
Fareha Nizam ◽  
Mardeni Roslee ◽  
Zubaida Yusoff ◽  
Prince Ugochukwu Nmenme ◽  
Keshvinder Singh ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Outer Region ◽  
D2d Communication ◽  
Fractional Frequency Reuse ◽  
Total System ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Multiple Assignment ◽  
Device To Device ◽  
Sum Rate

<p>A vital technology in the next-generation cellular network is device-to-device (D2D) communication. Cellular user enabled with D2D communication provides high spectral efficiency and further increases the coverage area of the cell, especially for the end-cell users and blind spot areas. However, the implementation of D2D communication increases interference among the cellular and D2D users. In this paper, we proposed a radio resource allocation (RRA) algorithm to manage the interference using fractional frequency reuse (FFR) scheme and Hungarian algorithm. The proposed algorithm is divided into three parts. First, the FFR scheme allocates different frequency bands among the cell (inner and outer region) for both the cellular and the D2D users to reduce the interference. Second, the Hungarian weighted bipartite matching algorithm is used to allocate the resources to D2D users with the minimum total system interference, while maintaining the total system sum rate. The cellular users share the resources with more than one D2D pair. Lastly, the local search technique of swapping is used for further allocation to minimize the interference. We implemented two types of assignments, fair multiple assignment, and restricted multiple assignment. We compared our results with existing algorithms which verified that our proposed algorithm provides outstanding results in aspects like interference reduction and system sum rate. For restricted multiple assignment, 60-70% of the D2D users are allocated in average cases.</p>

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