Enhanced service delivery for cognitive systems within multiple antenna scenarios
| Author | Hassouneh, Nisreen |
| Author | Odeh, Maha |
| Author | Zorba, Nizar |
| Author | Hassanein, Hossam S. |
| Available date | 2024-09-16T05:09:26Z |
| Publication Date | 2013 |
| Publication Name | 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013 |
| Resource | Scopus |
| Abstract | Multiple Input Multiple Output (MIMO) is a well established technology that when jointly considered with Cognitive Radio (CR) it will create interactions that need to be optimized. The capability to provide service to more than one user and the generated interference among them is of crucial importance, where we employ the opportunistic scheduling to increase the system performance. Therefore, along this paper we propose statistical optimization techniques to tackle the joint MIMO-CR scenario, where each user asks for different Quality of Service (QoS) demands. By considering real time applications, we mathematically obtain their QoS behaviour in terms of the maximum allowed scheduling delay and maximum enabled jitter. Computer simulations are run to verify the accuracy of our results, and for both primary (PU) and secondary (SU) users. |
| Language | en |
| Publisher | IEEE Computer Society |
| Subject | Cognitive systems Computer simulation Electrical engineering MIMO systems Optimization Scheduling Multiple antenna Multiple input multiple output Opportunistic scheduling Real-time application Service delivery Statistical optimization Quality of service |
| Type | Conference Paper |
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QMIC Research [219 items ]