Resource Combinatorial Optimization for Mobility-aware STDMA MAC Protocols

摘要：

　　In this paper, a Mobility Pattern Adaptive Resource Combinatorial Optimization (MPARCO) algorithm is developed for mobility-aware STDMA MAC protocols in multi-hop wireless networks. The underlying problem entails the optimal joint link scheduling combined with the simultaneous assignment of transmit power levels and data rates across active mobile links. We develop a mathematical formulation for maximizing throughput and/or power efficiency under corresponding constrains. Then, we solve the problem with Discrete Dynamic Programming (DDP) depending on different mobility patterns. Finally, based on the solution, we propose our low complexity distribute MPARCO strategy which can be generically embedded into any existing mobility-aware STDMA MAC protocol.

关键词： Energy-efficient Combinatorial Optimization Problem Discrete Dynamic Programming

作者: Siqian Cui Yingyuuan Gao Bin Li Zhou Lu

作者单位: China Academy of Electronics and Information Technology, Beijing 100041, China

会议类型: 国际会议

会议名称: 2018 3rd International Conference on Mechatronics and Information Technology (ICMIT 2018) (2018第三届机电与信息技术国际会议)

会议地点: 成都

会议语种:英文

页码: 1-6

在线出版日期: 2018-10-30（万方平台首次上网日期，不代表论文的发表时间）