ABSTRACT
The increase in usage of smart phones and extension of wireless technology to non-human interactions (e.g., Machine to machine communications) has made avoidance and recovery from congestion a priority, both for network operators and network vendors. With the advent of 4G, which provides higher data rate and new age applications like video, user plane congestion in Radio and backhaul is possible. With applications like machine to machine communications, the signaling load on the network can also increase exponentially. Therefore both User plane and Control Plane congestion needs to be addressed.
The current mechanisms for Congestion Control rely on statically allocating different priorities for UEs. This allows calls from high priority UEs to be allowed in the network, during disasters. However any call made by the UE is considered as high priority. This is not sufficient as non-necessary data service may hog the bandwidth during emergency blocking important services. In this paper we discuss dynamic priority for individual calls. Specifically, in this paper we discuss the solutions using back off timer mechanism based on the device type and the priority of the access to recover from congestion scenario.
The control and user plane congestion in the core network can be alleviated by usage of intelligent node selection and mobility using DNS based mechanism. This helps to distribute traffic to lightly loaded nodes, thereby alleviating congestion in a single node. This is especially useful when there is regional congestion due to some unforeseen events like natural disasters.
The user plane congestion can occur in the radio or in the backhaul. The radio congestion is caused due to high number of users trying to access the network which causes most requests to be rejected. We propose a solution in which the rejection can be based on the subscription profile and type of application. This allows only high priority applications to access the network during time of disaster while rejecting all low priority accesses even from high priority user. During non-disaster time, the mechanism has the advantage of allowing the revenue of the operators to be maximized and also fair resources to be provided to everybody.
We focus on 3GPP Network as an example to demonstrate the usage of these mechanisms.
- 3GPP TS 23.401: "General Packet Radio Service (GPRS) enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) access".Google Scholar
- 3GPP TS 36.331: "Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol specification".Google Scholar
- IETF RFC 3401: "Dynamic Delegation Discovery System (DDDS) Part One: The Comprehensive DDDS".Google Scholar
- 3GPP TS 29.303: "Domain Name System Procedures; Stage 3"Google Scholar
- 3GPP TS 23.203: "Policy Control and Charging architecture".Google Scholar
- 3GPP TS 29.274: "3GPP Evolved Packet System. Evolved GPRS Tunnelling Protocol for EPS (GTPv2)".Google Scholar
- 3GPP TS 24.301: "Non-Access-Stratum (NAS) protocol for Evolved Packet System (EPS); Stage 3".Google Scholar
- IETF RFC 3403: " Dynamic Delegation Discovery System (DDDS) Part Three: The Domain Name System (DNS) Database".Google Scholar
- IETF RFC 2782: "A DNS RR for specifying the location of services (DNS SRV)".Google Scholar
- IETF RFC 3958: "Domain-Based Application Service Location Using SRV RRs and the Dynamic Delegation Discovery Service (DDDS)".Google Scholar
Index Terms
- Network congestion control: mechanisms for congestion avoidance and recovery
Recommendations
Unreliable transport protocol using congestion control for high-speed networks
Currently there is no control for the real-time traffic of multimedia applications using UDP (User Datagram Protocol) in high-speed networks. Therefore, although a number of high-speed TCP (Transmission Control Protocol) protocols have been developed ...
Robust and fair Multicast Congestion Control (M2C)
Since 1995 and the Receiver-driven Layered Multicast (RLM) protocol, numerous multicast congestion control protocols have been proposed, such as RLC, FLID-SL, FLID-DL and finally the WEBRC protocol. However these protocols suffer from some limitations ...
Congestion control for high bandwidth-delay product networks
Proceedings of the 2002 SIGCOMM conferenceTheory and experiments show that as the per-flow product of bandwidth and latency increases, TCP becomes inefficient and prone to instability, regardless of the queuing scheme. This failing becomes increasingly important as the Internet evolves to ...
Comments