Efficient Parallel Data Retrieval Protocols with MIMO Antennae for Data Broadcast in 4G Wireless Communications

Abstract

Abstract Wireless Data Broadcast is an efficient data dissemination method for public information to a large number of mobile/wireless clients. With the advance of the fourth-generation wireless communication system (4G), mobile devices may embed multiple-input multiple-output (MIMO) antennae to setup multi-connections to a base station. In this paper, we deal with data retrieval problem for mobile clients with MIMO antennae to retrieve a set of indexed data from parallel communication channels. Our purpose is to construct fast and energy efficient data retrieval protocols to reduce the response time and energy consumption. We name this problem as parallel data retrieval scheduling with MIMO Antennae (PADRS-MIMO), and propose two greedy heuristics named Least Switch Data Retrieval Protocol (Least-Switch) and Best First Data Retrieval Protocol (Best-First). We are the first work to deal with data retrieval with MIMO antennae for wireless data broadcast. We analyze the performances of Least-Switch and Best-First both theoretically and practically. Simulation results prove the efficiency of the two protocols.KeywordsData ItemData RetrievalAccess LatencyBroadcast ChannelMobile ClientThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.