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

Rafay Ansari, Haris Pervaiz, Chrysostomos Chrysostomou, Syed Ali Hassan, Aamir Mahmood, Mikael Gidlund

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
4 Downloads (Pure)

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 article, 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 work 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.
Original languageEnglish
Pages (from-to)34925-34937
JournalIEEE Access
Volume7
Early online date8 Mar 2019
DOIs
Publication statusPublished - 1 Apr 2019
Externally publishedYes

Fingerprint

Dive into the research topics of 'Control Data Separation Architecture for Dual Band mmWave Networks: A New Dimension to Spectrum Management'. Together they form a unique fingerprint.

Cite this