scholarly journals Radio Resource Allocation For Device to Device Network Using Auction Algorithm

2019 ◽  
Vol 16 (2) ◽  
pp. 53
Author(s):  
Mohamad Yasin Ramadhan ◽  
Vinsensius Sigit ◽  
Arfianto Fahmi
Keyword(s):  
Resource Allocation ◽  
Communication Networks ◽  
Data Rate ◽  
Network Systems ◽  
Allocation Algorithm ◽  
Cell Radius ◽  
5G Network ◽  
The Future ◽  
Device To Device

One application of communication from the 5G network in the future is to implement Device to Device (D2D) into heterogeneous multi-tiered communication networks consisting of small cell communications between eNB, cellular and D2D. The application of D2D is useful for the future even though it has several problems with one of them being interference with the frequency of other devices in the same cell. This can affect Quality of Service (QoS) in D2D communication so that it requires the application of a resource allocation distribution that can increase data rate and reduce interference. One of the algorithms used for the distribution of resource allocation in communication network systems is the Auction allocation algorithm. The auction allocation algorithm introduced in this journal provides a solution to divide resources fairly for all D2D pairs. The data rate increases by increasing the number of resource blocks and decreasing the cell radius.

scholarly journals Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210310 ◽  
Author(s):  
Maharazu Mamman ◽  
Zurina Mohd Hanapi ◽  
Azizol Abdullah ◽  
Abdullah Muhammed
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Radio Resource Allocation ◽  
Service Class ◽  
Radio Resource ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

scholarly journals An Efficient Resource Allocation Algorithm for Device-To-Device Communications

2019 ◽  
Vol 9 (18) ◽  
pp. 3816 ◽  
Author(s):  
Saraereh ◽  
Mohammed ◽  
Khan ◽  
Rabie ◽  
Affess
Keyword(s):  
Resource Allocation ◽  
Optimal Algorithm ◽  
Search Algorithm ◽  
Low Complexity ◽  
System Capacity ◽  
Total System ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Device To Device ◽  
Total Capacity

In order to solve the problem of interference and spectrum optimization caused by D2D (device-to-device) communication multiplexing uplink channel of heterogeneous cellular networks, the allocation algorithm based on the many-to-one Gale-Shapley (M21GS) algorithm proposed in this paper can effectively solve the resource allocation problem of D2D users multiplexed cellular user channels in heterogeneous cellular network environments. In order to improve the utilization of the wireless spectrum, the algorithm allows multiple D2D users to share the channel resources of one cellular user and maintains the communication service quality of the cellular users and D2D users by setting the signal to interference and noise ratio (SINR) threshold. A D2D user and channel preference list are established based on the implemented system’s capacity to maximize the system total capacity objective function. Finally, we use the Kuhn–Munkres (KM) algorithm to achieve the optimal matching between D2D clusters and cellular channel to maximize the total capacity of D2D users. The MATLAB simulation is used to compare and analyze the total system capacity of the proposed algorithm, the resource allocation algorithm based on the delay acceptance algorithm, the random resource allocation algorithm and the optimal exhaustive search algorithm, and the maximum allowable access for D2D users. The simulation results show that the proposed algorithm has fast convergence and low complexity, and the total capacity is close to the optimal algorithm.

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