Network Coding For Rate Allocation Strategy In Wireless Network

With the rapid development of wireless communications and network technology, users demand higher transmission quality of wireless networks. How to improve network throughput, increase the network reliability and maximize network utilization become the main challenge of resource allocation problem in wireless networks. In addition, studies show that network coding can improve network throughput, balance the network load, reduce energy consumption, and enhance the robustness of system. Due to the characteristics of the wireless networks, more and more research focus on the application of network coding in wireless networks.We focus on the multiple unicast sessions problem with inter-session network coding in wireless networks. Considering the link reliability, a novel rate allocation scheme named reliable pairwise inter-session network coding (RPINC) scheme is proposed, which is formulated as a convex optimization problem to maximize the network throughput and achieve the proportional fairness. First, a recursive algorithm is adopted to calculate the link reliability. Then, we solve the utility maximization problem by the proximal method and gradient projection method for solving the utility function. The simulation results show that our scheme can increase the aggregate network utility significantly compared with the traditional approach.We also study the resource allocation problem for the users are non-cooperative in wireless networks and present a rate allocation strategy with inter-session network coding. We formulate the utility function to maximize the aggregate network surplus. Furthermore, we present a novel discriminatory pricing scheme which is more reasonable to reflect the actual load in the wireless networks with inter-session coding. Finally, we evaluate our algorithm by comparing with the traditional rate allocation strategies and the performance is analyzed.