Aiming at the content downloading scenario in the network such as cellular network and vehicular network,a cooperative content downloading scheme based on device-to-device multicast communications was proposed to improve the content downloading performance.Such a scheme took advantage of the proximity feature of the content requesters and groups them into disjoint clusters.Firstly,the base station delivered the entire content to a cluster,and each content requester in a cluster downloaded a proportion of the entire content.
Then,the content requesters took turns sharing their downloaded content with other content requesters in the same cluster.In this way,the additional resource consumption of content sharing in a cluster was Wax Bars shared by the content requesters in the cluster together.During this process,a pricing-based approach was proposed to motivate these content requesters to cooperate with each other.
Such an approach only required the base station to maintain a content downloading Dryer Door Moulding price.Based on this,the joint issue of user clustering,link scheduling and power allocation was studied to minimize the total cost of content requesters.To obtain a superior solution with reductive complexity,a joint optimization algorithm was designed based on the coalition formation game.
Numerical results show that compared with the traditional non-cooperative scheme,the total cost of content requesters was reduced by 37.15%.Under different numbers of content requesters and cellular users,the proposed scheme is both superior to other benchmark schemes.