Physical Layer Technologies for Large Spectral Efficiency Increases and Improved Security in Future Networks

随着5G网络的部署，研究人员正在将注意力转向下一代无线通信网络。后5G无线的第一阶段将是数据密集型无线宽带服务，与5G相比，这需要大幅提高数据速率。正如毫米波频段是5G所需数据速率的推手一样，太赫兹频段需要用于实现许多6G业务所需的Tb/s数据速率。本提案的重点是未来无线通信系统的使能技术。我们考虑提高频谱效率（以所使用的每单位带宽的数据速率比特/秒来衡量）、提高误码率性能、降低计算复杂性的技术，以允许某些技术可行地实施并提高无线通信的安全性。为了做到这一点，我们提出了新的基于排列的索引调制方案。另一种提高频谱效率的方法是使用部分响应信令（PRS）。PRS中的序列检测计算复杂；因此，为了保持合理的复杂度，我们提出了基于高斯可分性的序列估计算法。对于工作在太赫兹频段的超大规模MIMO，我们考虑将天线子阵列上的模拟波束形成与子阵列的数字加权相结合，从而降低预编码和组合的复杂性。最后，我们考虑了高速无线通信中阶梯码的实现，并建议使用这些码的擦除解码来提高其性能（甚至降低复杂性，因为改进的性能可以与减少的解码器迭代次数相交换）。然后，我们将我们的楼梯编码的擦除解码算法转换为一种安全的加密技术。我们将确定我们提出的方案的加密强度，并与文献中的其他加密技术进行比较。

As 5G networks are being deployed, researchers are now turning their attention to the next generation of wireless communication networks.  The first phase of post-5G wireless will be data-intensive wireless broadband services, which require a massive increase in data rate compared to 5G.  Just as the mmWave-band was an enabler of the data rates required by 5G, the terahertz band needs to be used to enable the Tb/s data rates that will be required for many 6G services.  This proposal focuses on enabling technologies for future wireless communication systems.  We consider techniques that increase the spectral efficiency (which is measured by the data rate in bits/sec per unit bandwidth used), improve bit error rate performances, reduce computational complexity to allow certain technologies to be feasibly implemented and to improve the security of wireless communications.  To do this we propose novel permutation-based index modulation schemes.  Another method to increase spectral efficiency is the use of partial response signaling (PRS). Sequence detection in PRS can be computationally complex; therefore, to maintain reasonable complexity we propose the use of our novel sequence estimation algorithms based on Gaussian separability.  For ultra-massive MIMO operating in the terahertz band, we consider reduced complexity precoding and combining that combines analog beamforming on subarrays of antennas and digital weighting of the subarrays.  Finally, we consider the implementation of staircase codes in high speed wireless communications and propose the use of erasure decoding of these codes to improve their performance (or even reduce complexity as the improved performance can be traded off against reduced number of decoder iterations).  We then adapt our erasure decoding algorithm for staircase codes to convert staircase coding into a secure encryption technique.  We will determine the cryptographic strength of our proposed scheme and compare with other encryption techniques in the literature.