Control-Data Separation Architecture for Dual-Band mmWave Networks:A New Dimension to Spectrum Management

Ansari, Rafay Iqbal and Pervaiz, Haris and Chrysostomou, Chrysostomos and Hassan, Syed Ali and Mahmood, Aamir and Gidlund, Mikael (2019) Control-Data Separation Architecture for Dual-Band mmWave Networks:A New Dimension to Spectrum Management. IEEE Access, 7. 34925 - 34937. ISSN 2169-3536

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Abstract

The exponential growth in global mobile data traffic, especially with regards to the massive deployment of devices envisioned for fifth generation (5G) mobile networks, has given impetus to exploring new spectrum opportunities to support the new traffic demands. The millimeter wave (mmWave) frequency band is considered as a potential candidate for alleviating the spectrum scarcity. Moreover, the concept of multi-tier networks has gained popularity, especially for dense network environments. In this paper, we deviate from the conventional multi-tier networks and employ the concept of control-data separation architecture (CDSA), which comprises of a control base station (CBS) overlaying the data base station (DBS). We assume that the CBS operates on the sub-6 GHz single band, while the DBS possesses a dual-band mmWave capability, i.e., 26 GHz unlicensed band, and 60 GHz licensed band. We formulate a multi-objective optimization (MOO) problem, which jointly optimizes conflicting objectives: the spectral efficiency (SE) and the energy efficiency (EE). The unique aspect of this paper includes the analysis of a joint radio resource allocation algorithm based on Lagrangian Dual Decomposition (LDD) and we compare the proposed algorithm with the maximal-rate (maxRx), dynamic sub-carrier allocation (DSA) and joint power and rate adaptation (JPRA) algorithms to show the performance gains achieved by the proposed algorithm.

Item Type: Journal Article
Journal or Publication Title: IEEE Access
Additional Information: ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2500
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 131807
Deposited By: ep_importer_pure
Deposited On: 11 Mar 2019 14:10
Refereed?: Yes
Published?: Published
Last Modified: 24 Feb 2020 03:49
URI: https://eprints.lancs.ac.uk/id/eprint/131807

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