Efficient Programming of Reconfigurable Radio Frequency (RF) Systems

被引：0

作者：

Alawieh, Mohamed ^{[1
]}

Wang, Fa ^{[1
]}

Tao, Jun ^{[1
]}

Yin, Shihui ^{[1
]}

Jun, Minhee ^{[1
]}

Li, Xin ^{[1
]}

Mukherjee, Tamal ^{[1
]}

Negi, Rohit ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Elect & Comp Engn Dept, Pittsburgh, PA 15213 USA

来源：

2017 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD) | 2017年

基金：

美国国家科学基金会;

关键词：

CIRCUIT-DESIGN; OPTIMIZATION;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Reconfigurable radio frequency (RF) system has recently emerged as a promising solution to cope with multiple communication standards and high spectrum density. In this paper, we propose a novel optimization framework to efficiently program a reconfigurable RF system. In particular, two novel techniques, including (i) search space reduction by adaptive resolution and (ii) global polynomial optimization based on branch and bound, are developed. When combined with a relaxation iteration scheme, our proposed method offers superior performance when programming a large-scale reconfigurable RF system designed for the WLAN 802.11g standard.

引用

页码：772 / 779

页数：8

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