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

2 Citations (Scopus)
6 Downloads (Pure)


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
Early online date8 Mar 2019
Publication statusPublished - 1 Apr 2019
Externally publishedYes


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