Stable Matching based Resource Allocation for Service Provider's Revenue Maximization in 5G Networks


5G technology is foreseen to have a heterogeneous architecture with the various computational capability, and radio-enabled Service Providers (SPs) and Service Requesters (SRs), working altogether in a cellular model. However, the coexistence of heterogeneous network model spawns several research challenges such as diverse SRs with uneven service deadlines, interference management, and revenue maximization of non-uniform computational capacities enabled SPs. Thus, we propose a coexistence of heterogeneous SPs and SRs enabled cellular 5G network and formulate the SPs' revenue maximization via resource allocation, considering different kinds of interference, data rate, and latency altogether as an optimization problem and further propose a distributed many-to-many stable matching based solution. Moreover, we offer an adaptive stable matching based distributed algorithm to solve the formulated problem in a dynamic network model. Through extensive theoretical and simulation analysis, we have shown the effect of different parameters on the resource allocation objectives and achieves 94\% of optimum network performance.


Computer Science

Research Center/Lab(s)

Center for High Performance Computing Research

Publication Status

Early Access


Published online: 05 Mar 2021

Keywords and Phrases

5G; IoT; Service Provider; Service Requester; Smart Healthcare; Stable matching

International Standard Serial Number (ISSN)

1536-1233; 1558-0660

Document Type

Article - Journal

Document Version


File Type





© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

05 Mar 2021