SDN ARCHITECTUREFOR COGNITIVE RADIO

NETWORKS

Kevy Vilchez Arellanos

20104503c

A HETEROGENEOUS WIRELESS NETWORK

A HWN is a Wireless network which consists of devices using different underlying radio accesstechnology.

An idea: “Radio spectrum usage is also a service”.

The challenge requirements of 5G:

Huge capacity, massive connectivity, high reliabilityand low latency.

Cognitive radio was focusing on improving the radio spectrum utilization resources.

New types of spectrum sharing models.

Reuse of spectrum: control the interference issues fromspace, frequency and time domain.

provide a unified framework for radio and network resource management,

reduce both CAPEX and OPEX per device

enable end-to-end goals such as resource allocation, guaranteed QoS,

provide a uniform vendor-agnostic interface forglobal communication,

improve spectrum efficiency in a cognitive network

virtualize network resources for flexible management.

In order to reduce the response latency and mitigate the traffic load to a single SDWN controller, there is a layered cloud control architecture for controller deployment with two kinds of controller:

Local Controller (LC) processes the event within single a RAN domain.

Global Controller (GC) deals with the inter-domain events around different RANs

In order to reduce the response latency and mitigate the traffic load to a single SDWN controller, there is a layered cloud control architecture for controller deployment with two kinds of controller:

Local Controller (LC) processes the event within single a RAN domain.

Global Controller (GC) deals with the inter-domain events around different RANs

LC can gathered the statistics at all the Aps within a network intodatabases. (Monitoring). LC will deliver or redirect on-line transactionprocesing (OLTP) or on-line analytical processing (OLAP) to the GC.

The Network monitoring includes two: collection protocl and thenetwork statistics.

The potential collection protocol is SNMP. Snmp_agent at each AP collects the statistics and Snmp_manager gathers the measuredstatistics from Openflow Aps.

Guolin Liu: SDN Architecture for Cognitive Radio Network, 2014. Doctoral Program of Higuer Education of China.

Suneth Namal: Implementation of OpenFlow based cognitive radio network architecture: SDN&R. Springer Science + Business Media New York 2015.

Cognitive Radio Networks: http://www.xgtechnology.com/technology/cognitive-radio-networks/

Guolin Sun: Architecture on Mobility Management in OpenFlowbased Radio Access Networks. Research Fund for Huawei Technologies Co., Ltd, China 2013.

Han-Chieh Chao: Integration of SDR and SDN for 5G. The National Science Council and Science Park Administration of the Republic of China, IEEE 2013.