Cooperative Dynamic Resource Sharing Technology For Wireless Networks

With the rapid development of wireless communication techniques and theincreasing popularity of wireless intelligent devices, we are experiencing the di-verse changes afected by the mobile internet, together with the fast enhancedrequirements of wideband wireless services and quality of experience (QoE). How-ever, in the real wireless networks, there are widely witnessed low efcient staticresource management mode, spectrum resource shortage, unbalanced spectrumresource distribution, and distinguished resource acquisition abilities for diferentwireless users, which are hardly to support the future development and applica-tions of wireless communication techniques. To address the related issues inwireless networks, dynamic spectrum sharing technology has been regarded asa potential solution to the efcient resource management and utilization, whichgains growing attentions from both academia and industry. In this paper, we con-sider two important wireless application scenarios: cellular networks and wirelesslocal area networks (WLANs), and the cooperative dynamic spectrum sharingtechnologies in wireless networks are proposed accordingly.Specifcally, for the dynamic resource management and utilization issue inthe next generation of cellular networks which supports the coexistence scenariofor the primary users and secondary users (SUs). We frst introduce an externalsensor aided dynamic spectrum access (DSA) model and a set of resource man-agement rules for the cellular networks. We then model the dynamic spectrumsharing process as a cooperative supply-demand matching problem, to match thedynamical time-frequency blocks (TFBs) supplied by external sensing agents andvarious resource demands of SUs. Finally, to reduce the delay in the spectrumallocation for resource management in cellular DSA applications, we devise a distributed fast spectrum sharing (DFSS) algorithm to realize both the proposed“wholesale” sharing and “aggregation” sharing approaches based on the heuris-tic packing method. Our proposal can signifcantly improve the utilization ofcellular bands, while helping to alleviate the spectrum scarcity.For another dynamic resource management and utilization issue in the WLANbased vehicular access scenario, frstly, we investigate the dynamic vehicular re-source sharing and cooperative content distribution case. According to the cur-rent trafc fow state and service requirement of vehicular users, we develop acooperative Drive-thru Internet framework for large-volume data distribution inhighways vehicular communications by cooperatively sharing the communicationresource of individual vehicular user in the limited medium access region. Weform clustered vehicles in a linear chain topology to boost the download per-formance. We analyze the collective download performance of vehicles and thedownloads forwarding time to retrieve the whole content in the linear cooper-ation cluster. The proposed approach can provide systematic solution for theadaptive control of upper-layer media applications in highways vehicular ad hocnetworks (VANET). Secondly, we target to the performance enhancement of ve-hicular access in the WLANs. We propose a unifed analytical framework forDrive-Thru Internet performance evaluation, which can be applied to the wide-ly deployed multi-rate IEEE802.11a/b/g WLANs and adapt to diferent trafcfow states. We develop an optimal access control approach, which provides afundamental solution to the performance enhancement of Drive-Thru Internet,in terms of saturated throughput, transmitted data volume and the guaranteedairtime fairness. The proposed optimal access control approach can be greatlyhelpful to boom the Drive-Thru Internet.