Dynamic Electromagnetic Exposure Allocation for Rayleigh Fading MIMO Channels

被引:8
作者
Castellanos, Miguel R. [1 ]
Ying, Dawei [2 ]
Love, David J. [1 ]
Peleato, Borja [1 ]
Hochwald, Bertrand M. [3 ]
机构
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
[2] Intel Corp, Hillsboro, OR 97124 USA
[3] Univ Notre Dame, Dept Elect & Comp Engn, Notre Dame, IN 46556 USA
基金
美国国家科学基金会;
关键词
Resource management; Transmitting antennas; Wireless communication; Covariance matrices; Electromagnetic radiation; Optimization; Multiple antenna array; specific absorption rate; convex optimization; dynamic programming;
D O I
10.1109/TWC.2019.2948916
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Future wearable and portable devices with multiple transmit antennas operating below 6 GHz are constrained by regulatory limitations on the level of electromagnetic radiation a user can be exposed to, measured using the specific absorption rate (SAR). Signaling designs that are optimized to include SAR constraints can improve the performance of uplink transmission. These signaling schemes could include closed-loop beamforming, closed-loop precoding, and space-time coding, which have all been shown to achieve increased rates when optimized as a function of SAR. Previous research addressed SAR constrained optimization only within a single coherence time block. In this paper, we present transmit policies that dynamically allocate user electromagnetic radiation exposure over time. We propose three exposure allocation methods - optimal, uniform, and asymptotic - in the practical case with causal channel state information (CSI), and an on-off transmission approach for the low SAR-to-noise ratio regime. Our results demonstrate that the performance of SAR-aware transmission can be further improved by exploiting frequency and time diversity.
引用
收藏
页码:728 / 740
页数:13
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