Sector-Based Radio Resource Allocation (SBRRA) Algorithm for Better Quality of Service and Experience in Device-to-Device (D2D) Communication

<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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Throughput and Fairness Optimal Scheduling for High Speed Cell Edge Users in LTE Networks

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1064.1292s319 ◽

2019 ◽

Vol 9 (2S3) ◽

pp. 253-258

Keyword(s):

Resource Allocation ◽

Quality Of Service ◽

High Speed ◽

Scheduling Algorithm ◽

System Capacity ◽

Radio Resource Allocation ◽

Radio Resource ◽

Lte Networks ◽

Cell Edge

Guaranteeing Quality of Service (QoS) to mobile users is the primary aim of cellular broadband system like Long Term Evolution (LTE). Radio resource allocation and scheduling are two important functions in the LTE networks to enhance the quality of service. For increasing the generally user experience, an efficient radio resource allocation and Scheduling algorithm should be used. However, this became a non-trivial task as the demands and requirements of user data changes day-to-day. In these situations, with the limited radio resources, maximum system capacity can be obtained on expense of unfair share of the resources. In this work, high speed cell edge users are considered as they experience poor signal strength and their quality of service degrades when they move away from Evolved-Nodes (e-Nodes). Here, a novel scheduling algorithm has been introduced to extend the cell edge throughput amid during high mobility scenarios. The proposed scheduling scheme will be compared with the conventional schemes like best CQI, RR and PF in terms of throughput and fairness. It is presented that the proposed scheme gives better performance against the conventional ones in the chosen scenario.

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