Towards delay, energy And spectrum-efficient Next Generation wireless netwOrks (TangO)

更高的速率、更低的延迟和更低的能耗：未来的通信系统及其大多数应用依赖于这三个本质上相互冲突的方向的重大改进。快速可靠的通信基础设施对于各个行业的发展至关重要：从移动宽带到智能汽车，从智能城市到智能电网，或者从远程医疗到触觉通信。这些应用对于提高人类生活质量和经济快速增长至关重要。除非在上述三个相互冲突的要求之间实现微调，否则未来快速通信的前景是不可能的，这在过去几年中已被证明是具有挑战性的。有效管理系统资源的自适应无线电资源分配（RRA）技术仅在考虑这些方向中的一个或两个方向时就显示出有希望的改进。另一方面，能量收集技术正在成为一种有前途的解决方案，可以在保持系统吞吐量的同时降低通信设备的能耗。尽管在上述三个方向上提高系统性能具有挑战性，但由于自适应RRA技术和能量收集技术的最新进展，现在是解决这一挑战的时候了。将RRA技术与能量收集技术相结合，可以显著提高系统的整体性能，但这方面的研究还有待开发。该项目旨在开发新的跨层RRA技术，该技术受益于能量收集技术，并优化调整系统参数，以灵活优化速率，延迟和能耗之间的交易。

Higher rates, lower latencies, and lower energy consumptions: Future communications systems and most of their applications rely on significant improvement in these three directions which are conflicting in nature. Fast and reliable communication infrastructure is essential for advancements of various industries: from mobile broadband to intelligent automotive cars, from smart cities to smart grids, or from telemedicine to haptic communications. These applications are vital for higher human life quality and rapid economic growth. The prospect of fast future communications will not be possible unless a fine tuning between all of the above three conflicting requirements is achieved, which has proved to be challenging over the past years. Adaptive radio resource allocation (RRA) techniques that efficiently manage the system resources have shown promising improvements when considering only one or two of these directions. On the other hand, energy harvesting technologies are emerging as a promising solution for reducing energy consumption of the communication devices, while maintaining the system throughput. Despite the challenging nature of improving the system performance in all of the above three directions, because of the recent progress in the adaptive RRA techniques and energy harvesting technologies, it is now the time to tackle this challenge. Coupling the RRA techniques and energy harvesting technologies has a great scope to significantly improve the overall system performance, which is yet to be exploited. This project aims at developing novel cross-layer RRA techniques that benefit from energy harvesting technologies and optimally tune the system parameters to flexibly optimize the trading between rate, delay and energy consumption.