A study of virtualization control A study of virtualization control architectures for mobile networks architectures for mobile networks APII Workshop APII Workshop 2012. 10. 29 2012. 10. 29 Korea University Korea University Choong-Ho Cho Choong-Ho Cho chcho@korea.ac.kr chcho@korea.ac.kr Lead agency: Korea Univ. Lead agency: Korea Univ. Joint agency: Chungbuk Univ. Joint agency: Chungbuk Univ.
Index Index Background Research Objects 1. Architecture Design for EFNs based on the VNET 2. Resource management for EFNs 3. Implementation of framework for EFNs on SDN/KOREN Future Work 2
Background (1/2) Background (1/2) ▶ Background Recently, mobile data traffic has been increasing sharply because there has been a sharp rise in demand for using smart phones and tablet PCs. Most mobile traffic (70% of data traffic, 50% of voice traffic) occurs in indoor environments. Market survey agencies (ABI and Ovum research ) and Cisco said, Mobile data traffic has been increasing sharply and the femtocell is one of the best methods to solve thi s problem. Accordingly, Major mobile telecommunication companies have set up investment plans for femtocell networks to serve indoor users with QoS. (Unit: Exa Byte/month) Mobile VoIP (0.3%) Mobile game (1.1%) Mobile file sharing (3.3%) Mobile M2M (4.7%) Mobile web/data (20%) Mobile video (70.5%) (year) Prospect: The trend of mobile data volumes and types in the world (Cisco, 2012.2) 3
Background (2/2) Background (2/2) ▶ Needs Major Mobile Network Operators (MNOs) have recently become interested in Enterprise Femtocell Networks (EFNs) because EFNs are not only a solution for serving indoor users with heavy traffic but also a highly marketable area. However, users in EFNs have more interference than Conventional Femtocell Networks (CFNs) since Femtocell Access Points (FAPs) are densely deployed. Thus, an efficient resource management scheme for EFNs is necessary. MNOs and Mobile Virtual Network Operators (MVNOs) are looking for solutions to maintain the current infra and reduce CAPEX/OPEX for the core networks. FUEs (MNO users and MVNO users) usually send data traffic to a Femtocell GateWay (FGW) through a FAP and the FGW forwards it to the destination through the MNO ’ s core network. Thus, a FGW sharing scheme for MNO and MVNO users is necessary. 4
Research Objects Research Objects Objects : An architecture of Virtualized EFN for MVNO and a Resource Management Schemes of a EFN using the VNET core. 1. Architecture design for mobile data transmission of MVNO using the VNET 2. An efficient resource management schemes of EFN considering limited capacity of Vnet 3. Development of a prototype system and web based traffic monitoring system for EFN Airport Business building Department store Subway 5 Architecture design for mobile data transmission in the virtual network of KOREN
Architecture Design for EFNs based on the VNET 1. Mobile network sharing solution for the EFN service 2. Architecture design for EFNs based on the VNET 6
1. Mobile network sharing solution for the EFN service 1. Mobile network sharing solution for the EFN service ▶ Mobile network sharing solution for the EFN service Core network sharing solution - A model based on VNET of future internet (Unilateral shared region) Femto Gateway / Access network sharing solution - A model using EFNs (femto gateway / femto access network sharing) SDN SDN SDN Research A B C A B C A B C FGW range FAP FUE (Femtocell User Equipment) Mobile network sharing solution for the EFN service 7
1. Mobile network sharing solution for the EFN service 1. Mobile network sharing solution for the EFN service ▶ Femto Gateway sharing solution Gateway sharing solution of the EFN - Method 1: each MVNO uses its own GW - Method 2: MVNOs share a GW MVNO-A GW GW Sharing MVNO-B GW solution MVNO-C GW Future Internet Future Internet VNET VNET EFN GW EFN GW a) Each MVNO uses its own GW b) MVNOs share a GW Gateway sharing solution using the VNET of future Internet 8
1. Mobile network sharing solution for the EFN service ▶ A Gateway platform for the EFN sharing solution A sharing GW platform of the EFN for the VNET of future Internet - VNET Creator & Monitoring system keeps watch the data volume from MVNOs - Efficient resource allocation and path establishment using Integrated VNET resource manager Operator VNET Creator & Monitoring system SDN FAP Resource controller controller Resource VNET DB Control plane Control plane FUE Integrated VNET resource manager Proposed GW platform for sharing solution of the EFN 9
2. Architecture design for EFNs based on the VNET 2. Architecture design for EFNs based on the VNET ▶ CFN Architecture ▶ 공통 실험 환경 The CFN architecture is connected to 3G and 4G (EPS). : The CFN is independent, and thus it can be connected to other networks. The CFN architecture (Femto Forum) 10
2. Architecture design for EFNs based on the VNET 2. Architecture design for EFNs based on the VNET ▶ EFN architecture in VNET of future Internet The data traffic from FAP is divided into MNO and MVNO groups in FGW In case of MVNO traffic, FCS and VNet GW transmit data through VNET on the future internet FUE: Femto User Equipment FUEv: Femto User Equipment with Virtual network FAP-MS: FAP Management System FCS-MS: Femto Control Server Management System FAP: Femto Access Point RRM Radio Resource Management FGW-MS: Femto GateWay Management System FCS: Femto Control Server HSS: Home Subscriber Server 11 FMS: Femto Management System VNetRA: Virtual Network Resource Allocation
2. Architecture design for EFNs based on the VNET 2. Architecture design for EFNs based on the VNET ▶ Call admission with fixed VNET resource Authentication ※ NAS : Non Access stratum VNET resource reservation Data transmission 12
2. Architecture design for EFNs based on the VNET 2. Architecture design for EFNs based on the VNET ▶ Call admission with dynamic VNET resource Authentication ※ NAS : Non Access stratum VNET resource reservation Data transmission 13
Resource management for EFNs 1. Summary of resource management 2. System environment 3. Resource allocation using a graph coloring algorithm 4. Resource allocation using fractional frequency reuse scheme 5. VNET resource management for MVNO 6. Performance evaluation 14
1. Summary of resource management 1. Summary of resource management ▶ Summary of Resource management for EFNs ▶ 공통 실험 환경 Resource management schemes with limited capacity of MNO and MVNO resource in EFNs Wireless resource allocation with capacity unlimited (not considering MVNO) We have proposed two resource allocation schemes to improve system performance Graph coloring algorithm and Fractional Frequency Reuse (FFR) Wireless resource allocation with limited MVNO VNET capacity (considering MVNO) FAPs assign wireless resource to MVNO Femtocell User Equipments (FUEs) considering the amount of VNET resources capacity for each MVNO 15
1. Summary of resource management 1. Summary of resource management ▶ Considerations and solutions in EFNs ▶ 공통 실험 환경 EFNs have more interference than CFNs since FAPs are densely deployed in EFNs. In EFNs, an FAP Control Server (FCS) manages wireless resource allocation for FAPs considering interference. In this research, we proposed two schemes using Graph coloring algorithm and Fractional Frequency Reuse (FFR) scheme to assign wireless channels for FAPs. In the scheme with a graph coloring algorithm, the FCS assigns different channels for FAPs with an Interference Matrix. In the FFR scheme, the FCS assigns channels in regular groups using a graph coloring algorithm. Then, FAPs allocate channels of super group for FUEs which are in an inner zone. We analyzed the proposed schemes with one FUE in each FAP The FFR scheme was worse than the Graph coloring scheme because of the number of FUEs. Thus, we will evaluate two schemes with more than 1 FUE. 16
2. System environment 2. System environment ▶ Signal to Interference plus Noise Ratio k The SINR, , on subchannel k (1≤ k ≤ K ) for FUE m [1≤ m ≤ M ] served by FAP n [1≤ n ≤ N ] is nm expressed by k R k nm , nm N k R a 2 jm kj N j j n 1 | d s f / k R P 0 c 20 log in dB , P T 는 Tx power, . nm T 10 d d 4 nm 0 d 0 is a reference distance which is typically assumed to be 1 meter indoors. d nm is distance between FAP n and FUE m . s and fc are the speed of light and carrier frequency, respectively 2 α is the path loss exponent, is the white noise power . N a a 1 [ ] A A binary matrix decribe the subchannel allocation among the FAPs, where denotes that kj K N kj a 0 subchannel k is assigned to FAP n, otherwise . kj 17
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