Intelligent Signal Processing Algorithms for Future Wireless Communications Systems

无线通信技术正处于其发展的关键点，因为它们从支持人对人的语音通信转向实现人对人和机器对机器的高速率数据通信。因此，未来将看到不同架构的无线网络的激增，这些网络在广泛的操作环境中支持多种服务。这将是一个特别具有挑战性的环境，无线设备在其中运行。无线电频谱将充斥着传输，每个设备将不得不在无线设备的小尺寸和低成本所施加的严格功率和复杂性约束下筛选以隔离为其提供的数据。

Wireless communication technologies are at a pivotal point in their development as they move from supporting person-to-person voice communications to enabling person-to-person and machine-to-machine high rate data communications. As a result, the future will see a proliferation of wireless networks of varying architectures that support a multitude of services in a wide range of operating environments. This will be a particularly challenging environment for wireless devices to operate in. The radio spectrum will be flooded with transmissions that each device will have to sift in order to isolate the data intended for it, under strict power and complexity constraints imposed by the small size and low cost of wireless devices.