• Mr.P.Tamilselvan
• Mr.V. Jagan
• Mr.V. Ebinesar
• Mr.B. Kailash

The communication systems industry has become well known for mobile and cellular networks. Due to daily increasing the high traffic volume of the internet, it is not possible to accommodate data flow in existing cellular system i.e. fourth generation cellular systems. The transition from fourth generation (4G) to fifth generation (5G) should maintain a quality of service (QoS) parameters such as peak data rate, coverage, and spectral and energy efficiency. Additionally, 5G networks also maintains the quality of experience (QoE) parameters like reliability, and ease of connectivity with nearby devices. To achieve Theas QoS and QoE parameters there are various technologies are proposed. Device-to-Device (D2D) communication is one of the revolutionary technologies which have taken place where the devices are more capable of taking decisions. The D2D communication enables mobile users to communicate directly without traversing the base station/eNB. D2D communication plays a significant role in the fifth-generation networks i.e. (5G). The D2D communication leads to an efficient spectral utilization which results in a potential reduction in the overhead at the Evolved Node B (eNodeB) side. D2D users utilize the radio resource of cellular users for their communication which improves the overall system sum rate. However, they have created huge xiii interference towards the cellular communication. Therefor without an efficient interference management scheme in place, cellular users experience a degradation in the quality of service (QoS), which makes interference mitigation a major deployment challenge. In order to mitigate the interference along with maximizing the system throughput by optimally allocating the resource/channel, a resource allocation scheme has been proposed. For this, we have put forward an efficient interference mitigation scheme in order to maximize the system throughput. This scheme comprises three sub parts. Firstly, we introduce a cell sub-division concept under which we virtually subdivide the cell into three regions, namely center, mid and outer regions. Secondly, we formulate the power allocation problem as a Robust Particle swarm optimization (RPSO) algorithm for the mid-cell region. This enables the scheme in handling the uncertainties in the allocated power, thus reaching a robust optimal solution. The third part consists of a resource allocation scheme built around a cell subdivision concept.

Fifth-generation networks (5G), Device-to-Device (D2D) communication, Interference management, Resource allocation, Robust Particle Swarm Optimization (RPSO)

"Data Efficient Resource Optimization and Congestion Control in 5G Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.f736-f743, May-2024, Available :http://www.jetir.org/papers/JETIR2405582.pdf

"Data Efficient Resource Optimization and Congestion Control in 5G Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppf736-f743, May-2024, Available at : http://www.jetir.org/papers/JETIR2405582.pdf