Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
MEERA: cross-layer methodology for energy efficient resource allocation in wireless networks
IEEE Transactions on Wireless Communications
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Diversity-multiplexing tradeoff in multiple-access channels
IEEE Transactions on Information Theory
The Throughput–Reliability Tradeoff in Block-Fading MIMO Channels
IEEE Transactions on Information Theory
Diversity–Multiplexing Tradeoff in MIMO Channels With Partial CSIT
IEEE Transactions on Information Theory
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
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Over the last decade multiple-input and multiple-output (MIMO) systems have been actively researched and started to be deployed in wireless communications owing to the significant increase in channel capacity. In this paper, we propose an Energy Saving MAC protocol in MIMO (ESMACM) systems by focusing on energy efficiency instead of capacity maximization. ESMACM considers the energy consumption together with the tradeoff between reliability (i.e., diversity) and throughput (i.e., multiplexing gain), and dynamically chooses an appropriate number of antennas for transmission. In computing the total energy consumption, ESMACM counts circuit energy as well as transmission energy. Naturally the circuit energy consumption is directly proportional to the number of active antennas. Through numerical analysis, we confirm that our ESMACM considerably saves energy consumption compared to conventional capacity maximization schemes that use a fixed number of MIMO channels, for a given outage constraint. Our finding is that the capacity maximizing communication which possibly can be regarded best in terms of energy efficiency gives a different solution from the energy minimizing communication.