Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management
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) frequenc...
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| Format: | Article |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8663278/ |
| _version_ | 1818911320430346240 |
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| author | Rafay Iqbal Ansari Haris Pervaiz Chrysostomos Chrysostomou Syed Ali Hassan Aamir Mahmood Mikael Gidlund |
| author_facet | Rafay Iqbal Ansari Haris Pervaiz Chrysostomos Chrysostomou Syed Ali Hassan Aamir Mahmood Mikael Gidlund |
| author_sort | Rafay Iqbal Ansari |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T22:56:50Z |
| format | Article |
| id | doaj.art-58e80ae7f1a84b78b1e740a5ec58a6be |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T22:56:50Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-58e80ae7f1a84b78b1e740a5ec58a6be2022-12-21T20:02:37ZengIEEEIEEE Access2169-35362019-01-017349253493710.1109/ACCESS.2019.29039018663278Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum ManagementRafay Iqbal Ansari0Haris Pervaiz1https://orcid.org/0000-0002-8364-4682Chrysostomos Chrysostomou2https://orcid.org/0000-0002-9287-990XSyed Ali Hassan3https://orcid.org/0000-0002-8572-7377Aamir Mahmood4https://orcid.org/0000-0003-3717-7793Mikael Gidlund5Department of Computer Science and Engineering, Frederick University, Nicosia, CyprusSchool of Computing and Communications, Lancaster University, Lancaster, U.K.Department of Computer Science and Engineering, Frederick University, Nicosia, CyprusSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, PakistanDepartment of Information Systems and Technology, Mid Sweden University, Sundsvall, SwedenDepartment of Information Systems and Technology, Mid Sweden University, Sundsvall, SwedenThe 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.https://ieeexplore.ieee.org/document/8663278/Control-data separation architectureresource allocationdual-band millimeter waveenergy efficiencyspectral efficiencymulti-objective optimization |
| spellingShingle | Rafay Iqbal Ansari Haris Pervaiz Chrysostomos Chrysostomou Syed Ali Hassan Aamir Mahmood Mikael Gidlund Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management IEEE Access Control-data separation architecture resource allocation dual-band millimeter wave energy efficiency spectral efficiency multi-objective optimization |
| title | Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management |
| title_full | Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management |
| title_fullStr | Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management |
| title_full_unstemmed | Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management |
| title_short | Control-Data Separation Architecture for Dual-Band mmWave Networks: A New Dimension to Spectrum Management |
| title_sort | control data separation architecture for dual band mmwave networks a new dimension to spectrum management |
| topic | Control-data separation architecture resource allocation dual-band millimeter wave energy efficiency spectral efficiency multi-objective optimization |
| url | https://ieeexplore.ieee.org/document/8663278/ |
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