A New Traffic Prediction Based Bandwidth Management Tool for Wireless Networks

Intelligent Automation, Incorporated (IAI) specializes in signal processing and communications. We have applied this technology to a wide range of systems including factory production control, automatic target recognition, prediction of network traffic,prediction of power system load, fast flow control of high-speed communication networks, and equalization of nonlinear channels. The Advanced Engineering and Sciences division of ITT Industries (ITT-AES), the subcontractor of this Phase 1 project, hasextensive experience in developing tools for Quality of Service (QoS) based network communications, including satellite communications and wireless land mobile communications. This proposal details how we synergistically merge expertise of IAI and ITT-AESto yield an efficient bandwidth management tool over wireless network. The key idea of this proposal is to manage bandwidth based on predicted future traffics in the system. Conventional approaches to network management are reactionary in nature. That is,the decision on bandwidth allocation is based on past measurement of traffic and hence is slow and inefficient in response. In contrast, our traffic prediction based bandwidth management tool is a look-ahead approach and will be more efficient and quick inbandwidth management. Moreover, much less collisions will occur among users and less bandwidth will be wasted.The new QoS based bandwidth management tool will provide help to new commercial applications such as video distribution as well as militaryapplications such as distributed control, commands, and communications. We expect this tool will find many applications in wireless and ATM networks, which will be a multibillion-dollar industry in the 21st century.