Practical Energy-Aware Link Adaptation for MIMO-OFDM Systems

• Published in: IEEE transactions on wireless communications Vol. 13; no. 1; pp. 246 - 258
• Main Authors: Eraslan, Eren, Chao-Yi Wang, Daneshrad, Babak
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Algorithms; Applied sciences; Decoding; Energy consumption; Energy efficiency; Energy management; Energy of solution; Energy use; Exact sciences and technology; Information, signal and communications theory; link adaptation; Links; Markov analysis; Mathematical models; MIMO; MMSE receiver; Multiplexing; OFDM; Operation, maintenance, reliability; Orthogonal Frequency Division Multiplexing; PER; post-processing SNR; Protocols; Receivers; Signal and communications theory; Sounding; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Throughput; Transmission and modulation (techniques and equipments); Test bench; OFDM; Information rate; Iterative method; Closed form equation; post-processing SNR; Implementation; Mean square error; Energetic efficiency; energy efficiency; Electric power consumption; Minimum energy; MIMO; MIMO system; Algorithm; Computational complexity; Information transmission; Energy savings; Simulation; Orthogonal frequency division multiplexing; Low-power electronics; PER; Service quality; Signal to noise ratio; MMSE receiver; link adaptation
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2013.111513.130364

In this paper, we present a practical link adaptation algorithm for MIMO-OFDM systems. The proposed solution is based on sounding the channel periodically and choosing the optimal mode that will maximize the throughput or energy efficiency (EE) while satisfying the application's quality of service (QoS) requirements. In addition, we address practical problems such as the computational complexity of the algorithm and determination of sounding period by novel closed form solutions and iterative algorithms. Realistic link level simulations confirm that the proposed solution achieves significant improvement over existing link adaptation algorithms when the aim is to maximize the throughput, and provides orders of magnitude gain in energy efficiency compared to poorly chosen fixed modes when used for energy efficiency maximization purposes. The resulting algorithms are implemented on a real time MIMO-OFDM testbed, and we report on the experimental results.