Goodput Analysis and Link Adaptation for IEEE 802.11a Wireless LANs
IEEE Transactions on Mobile Computing
Convex Optimization
Geometric programming for communication systems
Communications and Information Theory
EURASIP Journal on Wireless Communications and Networking
Multimode antenna selection for spatial multiplexing systems with linear receivers
IEEE Transactions on Signal Processing - Part II
Space-time bit-interleaved coded modulation for OFDM systems
IEEE Transactions on Signal Processing
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
Adaptive modulation and MIMO coding for broadband wireless data networks
IEEE Communications Magazine
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
Algorithm and implementation of the K-best sphere decoding for MIMO detection
IEEE Journal on Selected Areas in Communications
Wireless Personal Communications: An International Journal
Model-driven energy-aware rate adaptation
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
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We present a link adaptation strategy for multipleinput multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) based wireless communications. Our objective is to choose the optimal mode that will maximize energy efficiency or data throughput subject to a given quality of service (QoS) constraint. We formulate the link adaptation problem as a convex optimization problem and expand the set of parameters under the control of the link adaptation protocol to include: number of spatial streams, number of transmit/receive antennas, use of spatial multiplexing or space time block coding (STBC), constellation size, bandwidth, transmit power and choice of maximum likelihood (ML) or zero-forcing (ZF) for MIMO decoding. Additionally, we increase the fidelity of the energy consumption modeling relative to the prior art. The resulting solution allows us to easily and quickly search the space of possible system parameters to deliver on the QoS with minimal energy consumption. Moreover, it provides us insight into where crossovers occur in the choice of the radio parameters. Application of the results to a generic MIMO-OFDM radio shows that the proposed strategy can provide an order of magnitude improvement in energy efficiency or data throughput relative to a static strategy.