Context-aware wireless broadcast for next generation cellular networks

This paper considers the energy minimization problem for wireless broadcast networks. One important feature is that user context is taken into consideration, integrated with network coding technique. Assuming that the user context, i.e., channel state information (CSI) can be predicted or estimated by using user location and moving pattern, power allocation is optimized to minimize energy consumption. It is proved NP-hard to find the optimal solution. By formulating the minimization problem into a binary integer programming (BLP) problem, the optimal solution can be obtained. Considering the high complexity of BLP, a heuristic algorithm is also proposed. Simulation results show that the proposed context-aware algorithms can reduce energy consumption up to 98%, compared with the scheme without using context information.