On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
IEEE Computational Science & Engineering
Medium Access Control in Ad Hoc Networks with MIMO Links: Optimization Considerations and Algorithms
IEEE Transactions on Mobile Computing
A hybrid approach to spatial multiplexing in multiuser MIMO downlinks
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Routing in Ad-hoc Networks with MIMO Links
ICNP '05 Proceedings of the 13TH IEEE International Conference on Network Protocols
DSMA: an access method for MIMO ad hoc networks based on distributed scheduling
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
IEEE Transactions on Signal Processing
Layered space-time multiuser detection over wireless uplink systems
IEEE Transactions on Wireless Communications
Combined array processing and space-time coding
IEEE Transactions on Information Theory
The capacity of wireless networks
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
An introduction to the multi-user MIMO downlink
IEEE Communications Magazine
Cross-layer scheduling for multi-user MIMO systems
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
From theory to practice: an overview of MIMO space-time coded wireless systems
IEEE Journal on Selected Areas in Communications
Cross-Layer Optimization of Multichannel Multiantenna WMNs
Wireless Personal Communications: An International Journal
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In this paper, we investigate the problem of scheduling flows for fair stream allocation (or, stream scheduling) in ad hoc networks in which the transmitter and receiver use multiple antennas called Multiple Input Multiple Output (MIMO) technology. Our main contributions include: i) the concept of stream allocation to flows based on their traffic demands or class, ii) stream allocation to flows in the network utilizing single user or multiuser MIMO communication, iii) achieving the proportional fairness of the stream allocation in the minimum possible schedule length, and iv) performance comparison of the stream scheduling in the network for single user and multiuser communication and the tradeoff involved therein. We first formulate demand-based fair stream allocation as an integer linear programming (ILP) problem whose solution is a schedule that is guaranteed to be contention-free. We then solve this ILP in conjunction with binary search to find a minimum length contention-free schedule that achieves the fairness goals. We show that an implementation of our algorithm for a number of sample topologies in fact yields minimum length schedules that achieve the fairness goals. We then give performance comparison results that show the benefit of multiuser MIMO links over single user links at higher traffic workloads in the network. Finally, we also give a greedy heuristic for stream scheduling and compare its performance with the ILP-based algorithm in terms of the fairness goals achieved in a given schedule length.