Stable Matching Based Resource Allocation to Maximize Throughput and Minimize Interference in 5G Networks

S SATAPATHY, S SINGH, A PRATAP, RAJIV MISHRA, SK DAS

Abstract:

The next-generation wireless network is going to have highly dense, small cell structure with the huge number of Device-to-Device (D2D) communication enabled mobile devices. The dense deployment of the heterogeneous network architecture is expected to fulfill the user’s growing data demand, consume lower power and have a much lower latency. Such 5G cellular networks will have a multi-tier architecture with various cell size consisting of macrocells, D2D communication networks and different types of small cells for better quality of services to the users. The huge deployed heterogeneous networks create problems such as interference management, non-uniform cell capacity with not uniform users connectivity and cell coverage areas. In order to maximize the data rate of users, resource allocation and interference minimization problem with non uniform capacity is formulated as an NP-hard problem. Further, to solve the resource allocation problem in efficient computation cost, we propose stable matching based distributed algorithm for heterogeneous 5G networks. Through extensive theoretical and simulation analysis, we have shown the effect of different parameters on the resource allocation objectives.

Key terms:

Multi-tier cellular networks, D2D, Resource allocation algorithm, Stable matching, HetNet, 5G.

Introduction :

Day by day there is an increase in the number of mobile users, consequently we see an evolution in the cellular networks. Starting from the first generation in 1980 we are now awaiting the arrival of 5th generation (i.e., 5G) networks. 5G communication network aims at higher capacity than current 4G (up to 10 Gbps), allowing a higher density of mobile broadband users, supporting more reliable Device-to-Device (D2D) and massive small cell networks...... Continue Reading.

About my co-authors:

Shivani Singh

Department of Computer Engineering, IIIT-Bhubaneswar, India

Shivani Singh is currently in her 3rd year of the BTech degree in computer engineering IIIT Bhubaneswar, India. Her research interests include algorithm design for next generation advanced wireless networks and Cyber physical IoTs.

Ajay Pratap

Department of Computer Science and Engineering, Indian Institute of Technology, Patna, India

Ajay Pratap received the BTech degree in computer science and engineering from Uttar Pradesh Technical University Lucknow, India and the MTech degree in computer science and engineering from IIIT Bhubaneswar, India, in 2011, and 2014, respectively. He is currently working towards the PhD degree in the Department of Computer Science and Engineering, Indian Institute of Technology Patna, India. His PhD work is financially supported by Council of Scientific and Industrial Research, Government of India. His research interests include QoS level issues at MAC layer, resource allocation and algorithm design for next generation advanced wireless networks. His current work is related to HetNet, Small Cells and D2D communication underlaying cellular LTE-A and 5G networks. He is a student member of the IEEE.

Rajiv Misra

Department of Computer Science and Engineering, Indian Institute of Technology, Patna, India

Rajiv Misra received the MTech degree in computer science and engineering from the IIT, Bombay and the PhD degree in the area of mobile computing from IIT Kharagpur. He is currently working toward the associate professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Patna, India. His current research interests include spanned a design of distributed algorithms for Mobile, Adhoc and Sensor Networks, Distributed Cloud Computing and Wireless Networks. He has contributed significantly to these areas and published more than 60 papers in high quality journals and conferences, and 2 book chapters. His h-index is 9 with more than 500 citations. He has authored papers in the IEEE Transactions on Mobile Computing, the IEEE Transaction on Parallel and Distributed Systems etc. He is a senior member of the IEEE.

Sajal K Das

Department of Computer Science, Missouri University of Science and Technology, Rolla, MO

Sajal K. Das is a professor of computer science and Daniel St. Clair Endowed chair with the Missouri University of Science and Technology. His research interests include theory and practice of wireless sensor networks, cyber physical systems, smart environments (smart city, smart grid and smart health care), distributed and cloud computing, big data analytics and IoT, cyber-physical security, biological and social networks, applied graph theory and game theory. He has published extensively in these areas with more than 700 research articles in high quality journals and refereed conference proceedings. He holds 5 US patents and coauthored 4 books. His h-index is 78 with more than 25,000 citations according to Google Scholar. He is a recipient of 10 Best Paper Awards and numerous awards for teaching, mentoring and research including the IEEE Computer Society's Technical Achievement Award for pioneering contributions to sensor networks and mobile computing. He serves as the Founding editor-in-chief of the Pervasive and Mobile Computing Journal, and as associate editor of the IEEE Transactions of Mobile Computing and the ACM Transactions on Sensor Networks . He is a fellow of the IEEE.

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