Interference-Aware NFV-enabled Multicast Service in Resource-Constrained Wireless Mesh Networks

      

ABSTARCT :

Network Function Virtualization is a key technology that enables network operators to provide diverse communication services flexibly over a common infrastructure, resulting in a significantly reduced cost. This paper addresses the problem of optimal network function virtualization for providing multicast services in wireless mesh networks with minimal total cost. This problem is modeled in two different ways: Link-based Model (LBM) and Path-based Model (PBM). In both models, we formulate the problem as an integer linear program to find the best hosts for virtual network functions and to steer traffic across them by considering wireless interference and resource budgets. Furthermore, we propose a heuristic solution based on the decomposition of the problem into two smaller sub-problems that can be solved sequentially in two phases. In the first phase, a multicast tree for forwarding traffic is constructed, while in the second phase, the required network functions are instantiated in appropriately chosen nodes. Simulation results are presented to compare the performance and complexity of the exact solutions of link-based and path-based approaches and the proposed heuristic approach. These results demonstrate the effectiveness of the proposed path-based model and the heuristic algorithm.

EXISTING SYSTEM :

? It is then important to study how to realize the friendly coexistence between satellite and terrestrial networks. ? Moreover, since user distribution is relatively intensive from the perspective of the satellite, there may exist spatial correlations across multiple users in the considered multiuser environment. ? In the existing literature, there are various kinds of multi-gateway cooperation in multi-beam satellite systems, such as joint multi-gateway processing with partial CSI and partial data sharing. ? The SCUG method outperforms the existing GUG method except for the case where users are sparsely distributed, verifying the benefits of exploiting spatial correlations in user grouping.

DISADVANTAGE :

? We now present the optimization framework of throughput maximization problem incorporating coordinated and non-coordinated interference constraints in multihop wireless mesh network. ? We plan to address this issue by avoiding link elimination and adjusting the flow rates of links to reduce the impact of multilevel non-coordinated interference. ? In particular, given the broadcast nature of the wireless medium, interference has a significant impact on the capacity of wireless links. ? The basic reason for inaccuracy is the underlying assumption that all interfering links have similar impact.

PROPOSED SYSTEM :

• To increase the bandwidth utilization efficiency, the authors in proposed to dynamically allocate the orthogonal bandwidth based on different traffic demands. • The authors in proposed a joint carrier–power-bandwidth allocation scheme to maximize the throughput of the satellite network, which operates in the microwave frequency band. • Some techniques have been proposed in order to optimize the feeder link spectrum resource. • To efficiently exploit the superiority of the proposed JSDM framework, an elaborated user grouping scheme is worth being studied. • The proposed JSDM-based RRM framework is generic and can be adaptive to various communication systems.

ADVANTAGE :

? The improved performance is because of the adequate handling of non-coordinated interference. ? Therefore, an efficient routing scheme is required, which considers coordinated as well as asymmetric non-coordinated interactions of transmitters and receivers during path construction procedure to avoid such bottleneck links. ? A combination of accurate interference estimation and interference avoidance/mitigation techniques is mandatory for acceptable network performance. ? The performance of AMRTC is compared with AOMDV, Multipath Dynamic Source Routing (MDSR), and AVAIL in terms of offered traffic load and network throughput.

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