Min Flow Rate Maximization for Software Defined Radio Access Networks[omnet++code]

Min Flow Rate Maximization for Software Defined Radio Access Networks

Min Flow Rate Maximization for Software Defined Radio Access Networks With the advent of cloud computing technologies and the mass deployment of low power base stations (BSs), the cellular radio access networks (RAN) has undergone a major structural change. Min Flow Rate Maximization for Software Defined Radio Access Networks[omnet++code]The traditional high powered single-hop access mode between a serving BS and its users is being replaced by a mesh network consisting of a large number of wireless access points connected by backhaul links Min Flow Rate Maximization for Software Defined Radio Access Networks as well as network routers New concepts such as heterogeneous network (HetNet) or software defined air interface that capture these changes have been proposed and studied recently (see and references therein).

Such cloud-based, software defined RAN (SD-RAN) architecture has been envisioned as a future Min Flow Rate Maximization for Software Defined Radio Access Networks 5G standard, and is expected to achieve 1000x performance improvement over the current 4G technology within the next ten years The success of the SD-RAN will depend critically on our ability to jointly provision the backhaul and radio access networks. In recent years, interference management for a RAN has been a major focus of the wireless communication research in which a common assumption is that the users’ data can be routed to the serving BSs without any cost to the backhaul network. Unfortunately, such an assumption is not valid for the next generation RAN due to a large number of BSs connecting to the core network without carrier-grade backhaul, e.g., WIFI access points with digital subscriber line (DSL) connections.

 

Min Flow Rate Maximization for Software Defined Radio Access Networks

The increased Min Flow Rate Maximization for Software Defined Radio Access Networks heterogeneity, network size and backhaul constraints make interference management for future cloud based RANs a challenging task. From a backhaul network management point of view, flow traffic engineering is a classical problem that is well understood for wireline networks if source-destination pairs and link capacities are known in advance. However, in a SD-RAN, the source-destination pairs are dependent on user-base station association, while the capacity of a wireless link in a RAN is a nonconvex function of the transmit power due to multiuser interference. Both are a reflection of a close coupling of the backhaul and radio access networks. As a result, efficient joint backhaul and radio access network provision methods will be a central component of the newly Min Flow Rate Maximization for Software Defined Radio Access Networks proposed SD-RAN concept which advocates centralized network provisioning for cloud based radio access networks. The impact of the finite bandwidth of backhaul networks on wireless resource allocation has been studied recently in the context of joint processing between BSs

, e.g., Specifically, reference allows the cloud center to compute a joint precoding strategy for all the BSs, and then compress the precoded messages before sending to the BSs via the backhaul network. However, these works do not consider multi-hop routing between the source and the Min Flow Rate Maximization for Software Defined Radio Access Networks destination of each flow. The joint optimization of the backhaul flow routing and the power allocation for wireless network has also been considered in the framework of cross-layer network utility maximization (NUM) problem, see e.g. and some tutorial papers However, the references considered only the orthogonal wireless links which effectively ignored interference and reduced the problem to a convex one. A similar approach did consider the multiuser interference, although no convergence guarantee is provided. In the interference was considered in a fast fading environment but the Min Flow Rate Maximization for Software Defined Radio Access Networks proposed algorithms required solving difficult subproblems. the network was approximated by a deterministic channel model through which an approximate optimal solution was derived. For wireless sensor network, proposed a distributed algorithm capable of converging to the stationary solution of the joint optimization problem. However, it requires single antenna nodes and a strongly convex utility function. Furthermore, multiuser interference has also been considered in the joint provision of special wireless systems, e.g., back-pressure power control ALOHA medium access control