| Multiple-input multiple-output (MIMO), or array-to-array links are well known to provide extremely high spectral efficiency in rich multipath environments through the use of multiple spatial channels in the same system bandwidth.; Traditionally, if two wireless links would cause excessive interference on each other, they are assigned to different channels, e.g. they could be time-multiplexed. If the links are both MIMO, however, the spatial filtering capabilities at both ends enable the MIMO links to operate co-channel with a higher network throughput than if they operated in a time-division multiple access (TDMA) fashion.; We consider joint adaptation of link parameters for a set of flat-fading cochannel MIMO links. With ad hoc networks as our motivating application, we develop distributed algorithms that allow interfering MIMO links to operate simultaneously, and distributed resource allocation methods that can be used by future multiple-access control (MAC) layer designs. The control parameters used by the algorithms allow us to control the capacity of each link according to different data rate or quality of service (QoS) requirements.; The performance of the algorithms with practical drawbacks, such as the required feedback of the channel state information to the transmitter, and the iterative joint adaptation of the link parameters is analyzed.; The algorithms are tested on both simulated and measured indoor MIMO channels. The effects of filtering at the transmitter, stream control, interference power, spatial correlation of desired and interference signals, and disparate path losses are demonstrated. |
