Abstract
Massive multiple-input, multiple-output (MaMIMO) is currently being deployed in the fifth generation (5G) networks. It has increased the capacity for sub6GHz wireless access. However, the ongoing development is a critical step in enhancing this technology in order to deliver the capacity gains and the Quality of Service (QoS) requirements in 5G. Here, a novel spatial Software-Defined Networking (SDN) controller framework for radio resource allocation between a single cell long-term evolution (LTE) and a single cell Ma-MIMO is proposed and shown to further enhance performance. For the first time, an SDNbased radio resource management (SDN-RRM) framework for multiple radio access technologies (multi-RATs) is introduced. The methodologies in this framework address the interference caused by the user channel vectors as well as hardware impairments in Ma-MIMO by mainly relying on the Error Vector Magnitude (EVM) and channel state information (CSI). The handover between the LTE Access Point (AP) and the Ma-MIMO AP is decided by the wireless SDN controller. This has led to maximize the throughput and to achieve the QoS requirement. The proposed framework has been built and evaluated in realtime by using a massive Ma-MIMO testbed and an LTE testbed controlled by an SDN controller.
Original language | English |
---|---|
Title of host publication | IEEE PIMRC |
Publisher | IEEE Computer Society |
Number of pages | 7 |
Publication status | Submitted - May 2020 |
Event | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications : Virtual Conference - Duration: 31 Aug 2020 → 3 Sept 2020 https://pimrc2020.ieee-pimrc.org/ |
Conference
Conference | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications |
---|---|
Period | 31/08/20 → 3/09/20 |
Internet address |
Keywords
- Massive MIMO
- 5G
- User Grouping
- MultiRAT
- SDN controller/agent
- Quality of Service