Signaling Design and Algorithms for Grant-Free Multiple Access

无授权多址的信令设计和算法

• 批准号: 1711922
• 负责人: Ashfaq Khokhar
• 金额: $ 33万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1711922&HistoricalAwards=false
• 关键词: Signaling; Design; Algorithms; Grant; Free

Many applications running on smart devices generate or request sporadic data packets. Future wireless communication systems are required to accommodate such devices and also provide connectivity for emerging networks such as the Internet of Things. For such sporadic data, orthogonal resource allocation or request-approval based multiple access schemes are inefficient. There is need for designing a new type of grant-free multiple access mechanism that allow a large number of devices to share the communication medium for the delivery of infrequent and small-sized packet data. Desirable features include the ability to accommodate a large number of users, high bandwidth efficiency, high reliability, low latency, and high energy efficiency. It is also desirable that the transmissions can be asynchronous, be robust to multipath propagation and Doppler frequency shift, and require low processing complexity at the receivers.With this need in mind, the objective of the project is to design novel signaling schemes for such uplink multiple access transmissions and efficient and reliable detection algorithms. The project will design non-orthogonal multiple access schemes including linear precoding based multiple access and coded multiple access that eliminate the need of signaling and scheduling overhead. Low-complexity detection algorithms will be developed that incorporate features of the wireless communications including channel fading and error control coding. The performance of the designed schemes and receiver algorithms will be evaluated using theoretical analysis and simulations. The resulted novel multiple access schemes and detection algorithms can improve the efficiency and throughput of future wireless networks and will be useful for applications such as Internet of Thing and metropolitan area networks.

在智能设备上运行的许多应用程序生成或请求零星的数据包。未来的无线通信系统需要适应这些设备，并为物联网等新兴网络提供连接。对于这种零散的数据，正交资源分配或基于请求批准的多址方案是低效的。有必要设计一种新型的免授权多址机制，允许大量设备共享通信介质，以传送不频繁的小数据包数据。理想的特性包括能够容纳大量用户、高带宽效率、高可靠性、低延迟和高能效。此外，还希望传输可以是异步的，对多径传播和多普勒频移具有鲁棒性，并且对接收器的处理复杂度要求较低。考虑到这一需求，该项目的目标是为这种上行多址传输设计新颖的信令方案和高效可靠的检测算法。该项目将设计非正交多址方案，包括基于线性预编码的多址和编码多址，以消除信令和调度开销的需要。将开发低复杂度的检测算法，结合无线通信的特征，包括信道衰落和错误控制编码。设计的方案和接收机算法的性能将通过理论分析和仿真进行评估。所得到的新型多址方案和检测算法可以提高未来无线网络的效率和吞吐量，对物联网和城域网等应用具有重要意义。

项目成果

Spatial Transmitter Density Allocation for Frequency-Selective Wireless Ad Hoc Networks

• DOI: 10.1109/twc.2018.2881707
• 发表时间: 2019-01-01
• 期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
• 影响因子: 10.4
• 作者: Lu, Songtao;Wang, Zhengdao
• 通讯作者: Wang, Zhengdao

Underwater Distributed Antenna Systems: Design Opportunities and Challenges

水下分布式天线系统：设计机遇和挑战

• DOI: 10.1109/mcom.2017.1601071
• 发表时间: 2018
• 期刊: IEEE Communications Magazine
• 影响因子: 11.2
• 作者: Wang, Zhaohui;Zhou, Shengli;Wang, Zhengdao
• 通讯作者: Wang, Zhengdao

Training Optimization and Performance of Single Cell Uplink System With Massive-Antennas Base Station

• DOI: 10.1109/tcomm.2018.2876416
• 发表时间: 2019-02
• 期刊: IEEE Transactions on Communications
• 影响因子: 8.3
• 作者: Songtao Lu;Zhengdao Wang

Selector-Actor-Critic and Tuner-Actor-Critic Algorithms for Reinforcement Learning

用于强化学习的 Selector-Actor-Critic 和 Tuner-Actor-Critic 算法

• DOI: 10.1109/wcsp.2019.8928124
• 发表时间: 2019
• 期刊: International Conference on Wireless Communications and Signal Processing
• 作者: Masadeh, Ala'eddin;Wang, Zhengdao;Kamal, Ahmed E.
• 通讯作者: Kamal, Ahmed E.

Polarized Low-Density Parity-Check Codes on the BSC

BSC 上的偏振低密度奇偶校验码

• DOI: 10.1109/wcsp.2019.8928082
• 发表时间: 2019
• 期刊: International Conference on Wireless Communications and Signal Processing
• 作者: Gao, Binbin;Yin, Huarui;Wang, Zhengdao
• 通讯作者: Wang, Zhengdao