摘要

This letter focuses on the hard deadline constrained prioritized data multicasting scene, in which each user device (UD) that equips with dual wireless interfaces can receive data from the base station and transmit or receive data from near-by UDs simultaneously. In order to maximize the sum throughput, we aim to find the optimal and suboptimal solutions using the backward induction algorithm (BIA) and greedy algorithm (GA) based on full feedback. To decrease the large feedback resources caused by full feedback, we propose a limited feedback strategy, which requires very few channel occupation. We find that the optimal and suboptimal solutions under this limited feedback strategy can also be solved using BIA and GA, but with high complexity. Hence, a heuristic algorithm under this strategy is proposed, which has very low complexity and can keep considerable performance at the same time.