Issue No.05 - May (2014 vol.13)
Shan Chu , Motorola Solutions, Holtsville, NY, USA
Xin Wang , Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA
Yuanyuan Yang , Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2013.112
The demands for data rate and transmission reliability constantly increase with the explosive use of wireless devices and the advancement of mobile computing techniques. Multiple-input and multiple-output (MIMO) technique is considered as one of the most promising wireless technologies that can significantly improve transmission capacity and reliability. Many emerging mobile wireless applications require peer-to-peer transmissions over an ad hoc network, where the nodes often have a different number of antennas, and the channel condition and network topology vary over time. It is important and challenging to develop efficient schemes to coordinate transmission resource sharing among a heterogeneous group of nodes over an infrastructure-free mobile ad hoc network. In this work, we propose a holistic scheduling algorithm that can adaptively select different transmission strategies based on the node types and channel conditions to effectively relieve the bottleneck effect caused by nodes with smaller antenna arrays, and avoid the transmission failure due to the violation of lower degree of freedom constraint resulted from the channel dependency. The algorithm also takes advantage of channel information to opportunistically schedule cooperative spatial multiplexed transmissions between nodes and provide special transmission support for higher priority nodes with weak channels, so that the data rate of the network can be maximized while user transmission quality requirement is supported. The performance of our algorithm is studied through extensive simulations and the results demonstrate that our algorithm is very effective in handling node heterogeneity and channel constraint, and can significantly increase the throughput while reducing the transmission delay.
telecommunication network reliability, antenna arrays, cooperative communication, MIMO communication, mobile ad hoc networks, scheduling, telecommunication channels,transmission delay, adaptive scheduling, MIMO-based heterogeneous ad hoc networks, data rate, data transmission wireless devices, mobile computing techniques, multiple-input and multiple-output technique, wireless technologies, transmission capacity, mobile wireless applications, peer-to-peer transmissions, channel condition, network topology, transmission resource, infrastructure-free mobile ad hoc network, holistic scheduling algorithm, antenna arrays, transmission failure, degree of freedom constraint, channel dependency, cooperative spatial multiplexed transmissions, special transmission support, weak channels, user transmission quality, node heterogeneity, channel constraint,Transmitting antennas, Receivers, MIMO, Antenna arrays, Ad hoc networks, Peer-to-peer computing,Wireless communication, Network Architecture and Design, Distributed networks,MIMO, Mobile computing, ad hoc networks, scheduling, distributed, cross-layer design
Shan Chu, Xin Wang, Yuanyuan Yang, "Adaptive Scheduling in MIMO-Based Heterogeneous Ad Hoc Networks", IEEE Transactions on Mobile Computing, vol.13, no. 5, pp. 964-978, May 2014, doi:10.1109/TMC.2013.112