Resource Allocation to Maximize Fairness and Minimize Interference for Maximum Spectrum Reuse in 5G Cellular Networks

Abstract

The large number of internet-connected devices will continue to drive growth in data traffic in an exponential way, forcing network operators to increase the capacity of wireless networks. To do so in the cost-effective way a paradigm shift is occurring in 5G cellular networks from high power macro base station to small cell heterogeneous networks known as microcells, picocells, and femtocells. This paradigm shift of 5G cellular networks gives many opportunities ranging from increase capacity to reuse the scarce spectrum resources to coexistence to interference minimization etc. The coexistence of heterogeneous small cells makes the resource allocation, interference management, and maximum fairness among the users more complicated. In this paper, we formulate the resource allocation for spectrum reuse maximization, interference minimization and user level fairness in heterogeneous small cells 5G cellular networks as a NP-hard problem. We design centralized and probability based heuristic for the above resource allocation problem in-order to minimize interference and to achieve maximum spectrum reuse and fairness among the users in feasible computational complexity. We show through extensive network simulations that our proposal outperforms existing centralized interfering model (INT) and distributed random access (DRA) in both low and high-density networks.

Meeting Name

IEEE 19th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2018 (2018: Jun. 12-15, Chania, Greece)

Department(s)

Computer Science

Research Center/Lab(s)

Intelligent Systems Center

Second Research Center/Lab

Center for High Performance Computing Research

Comments

The work of A. Pratap was financially supported by Council of Scientific and Industrial Research, India (Grant No.: 09/1023(0013)/2014-EMR-1). S. K. Das is also a Distinguished Visiting Professor at Zhejiang Gongshan University, China. The work of S. K. Das was partially supported by NSF grants CNS-1545037, CNS-1545050, CCF-1725755, and CCF-1533918.

Keywords and Phrases

Algorithms; Computational complexity; Cost effectiveness; Digital storage; Heterogeneous networks; Mobile telecommunication systems; Resource allocation; Wireless networks; Wireless telecommunication systems; Cellular network; Connected Devices; Interference management; Interference minimizations; LTE-A; Network simulation; Random; Resource allocation problem; 5G mobile communication systems; 5G cellular networks

International Standard Book Number (ISBN)

978-1-5386-4725-7

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jun 2018

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