STTR Phase II: Scalable Detector for Multiple-Input Multiple-Output (MIMO) Communication Systems

STTR 第二阶段：用于多输入多输出 (MIMO) 通信系统的可扩展检测器

• 批准号: 1632569
• 负责人: Jonathan Hedstrom
• 金额: $ 75万
• 依托单位: Black Lattice Technologies, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1632569&HistoricalAwards=false
• 关键词: STTR; Phase; II; Scalable; Detector

The broader impact/commercial potential of this project lies in its ability to implement multiple-inputmultiple-output (MIMO) detectors of any size. This, in turn, impacts the broad needs of wirelesscommunications industry that is always in search of more efficient use of the scarce spectral resources.Since its invention 15 years ago, MIMO has been included in all wireless standards, e.g. WiFi,WiMAX, and LTE. As of today, MIMO products of sizes up to 4x4 (i.e. 4 transmit and 4 receiveantennas) have appeared in the market, while the most recent standards, such as IEEE 802.11ac WiFiand LTE-Advanced cellular, have specified MIMO sizes as large as 8x8. For WiFi this can mean moreeffective hot-spots in public and workplace settings. For cellular this can mean improved connectivityin rural areas with fewer base-station towers, having a positive economic impact. Industry activitiesthat attempt to build larger MIMO systems such as 16x16 are occurring. Massive MIMO networks withmore than 100 antennas at the base stations have recently been proposed for 5G cellular and beyond.These trends indicate a large market opportunity for the scalable MIMO technology that this projectbuilds upon.This Small Business Technology Transfer Research (STTR) Phase 2 project plans to develop andcommercialize a set of intellectual property (IP) software-codes/IP-cores related to multiple-inputmultiple-output (MIMO) communications. These cores address the needs of wireless chipsetmanufacturers. The main hurdle in the design and implementation of MIMO systems is theircomplexity which drives cost and power consumption. The complexity of an optimal MIMO detectorgrows exponentially with the number of transmit antennas. The same is true for most of the nearoptimal MIMO detectors that have been suggested in the literature and adopted by industry. Thislimitation has been the main impediment in developing commercial MIMO systems that support largerarray sizes with increased range and data rate. This project adopts a novel technology that achieves nearoptimal performance having complexity that only grows linearly with the number of transmit antennas.It thus can be used to implement MIMO systems of any size, at an affordable complexity.

该项目更广泛的影响/商业潜力在于其实现任何规模的多输入多输出（MIMO）检测器的能力。这反过来又影响了无线通信行业的广泛需求，无线通信行业始终寻求更有效地利用稀缺的频谱资源。自 15 年前发明以来，MIMO 已包含在所有无线标准中，例如： WiFi、WiMAX 和 LTE。截至目前，市场上已出现尺寸高达 4x4（即 4 个发射天线和 4 个接收天线）的 MIMO 产品，而 IEEE 802.11ac WiFi 和 LTE-Advanced 蜂窝等最新标准已指定 MIMO 尺寸高达 8x8。对于 WiFi 来说，这可能意味着公共和工作场所环境中的热点更加有效。对于蜂窝网络而言，这可能意味着基站塔较少的农村地区的连接性得到改善，从而产生积极的经济影响。尝试构建更大的 MIMO 系统（例如 16x16）的行业活动正在发生。最近，有人提出在 5G 蜂窝及更高版本中使用基站超过 100 个天线的大规模 MIMO 网络。这些趋势表明该项目所基于的可扩展 MIMO 技术存在巨大的市场机会。该小型企业技术转移研究 (STTR) 第 2 阶段项目计划开发一套与多输入多输出 (MIMO) 通信相关的知识产权 (IP) 软件代码/IP 核，并将其商业化。这些内核可满足无线芯片组制造商的需求。 MIMO 系统设计和实施的主要障碍是其复杂性，这会增加成本和功耗。最佳 MIMO 检测器的复杂性随着发射天线的数量呈指数增长。对于文献中建议并被业界采用的大多数接近最优 MIMO 检测器来说也是如此。这一限制一直是开发商业 MIMO 系统的主要障碍，这些系统支持更大的阵列尺寸以及更大的范围和数据速率。该项目采用了一种新颖的技术，可实现接近最佳的性能，其复杂性仅随着发射天线的数量线性增长。因此，它可以用于以可承受的复杂性实现任何规模的 MIMO 系统。

项目成果

Excited Markov Chain Monte Carlo MIMO detector with 8-antenna 802.11ac testbed demonstration

具有 8 天线 802.11ac 测试台演示的激动人心的马尔可夫链蒙特卡罗 MIMO 检测器

• DOI: 10.1109/icc.2017.7996951
• 发表时间: 2017
• 期刊: 2017 IEEE International Conference on Communications (ICC
• 作者: Hedstrom, Jonathan C.;Yuen, Chung Him;Chen, Rong-Rong;Farhang-Boroujeny, Behrouz
• 通讯作者: Farhang-Boroujeny, Behrouz

Achieving Near MAP Performance With an Excited Markov Chain Monte Carlo MIMO Detector

• DOI: 10.1109/twc.2017.2750667
• 发表时间: 2017-07
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Jonathan C. Hedstrom;C. Yuen;Rong-Rong Chen-Rong;B. Farhang-Boroujeny