Cooperation Control Between Wireless and Base Stations in Wireless Access Network Consisting of Wireless Networks with Different Coverages Mobile terminal users prefer WLAN (Wireless LAN) to cellular network because of no connection fee. WLANs are available in some places where many people gather in urban areas, whereas public access network like WLAN should be deployed at a low cost for rural leisure venues and momentary events. In this paper, we propose a wireless access network with larger coverage than WLAN by the cooperation between WLAN and another wireless network with larger coverage. This achieves the wider deployment of such wireless access networks with a smaller number (cost) of base stations. Connection control that decides which wireless network should be used for each wireless station is also proposed to increase the effective network capacity of the wireless access network. Performance evaluations show that the proposal achieves larger effective network capacity compared with greedy connection that all the wireless stations inside the WLAN coverage use the WLAN and the other ones do the other network with larger coverage, respectively.

Fair and efficient resource allocation in IEEE 802.11ah WLAN with heterogeneous data rates Abstract   For dense wireless LANs (WLANs), IEEE 802.11ah has specified restricted access window (RAW) as the channel access scheme. Here the competing stations (STAs) are divided into groups and STAs belonging to each group attempt to access the channel during their designated RAW slot by invoking the distributed coordination function (DCF) protocol. This paper describes an analytical model to evaluate the throughput performance of IEEE 802.11ah WLAN, when STAs use distinct data rates and the RAW mechanism is implemented for medium sharing. When STAs are grouped randomly (i.e., without considering their data rates), a group will contain STAs operating at distinct data rates. Since all these STAs simultaneously contend for channel access based on DCF protocol, the throughput of high data rate STAs are downequalized to that of lower data rate STAs; thus the aggregate network throughput is degraded significantly. To resolve the resulting performance anomaly problem, we consider data rate based grouping where STAs operating at the same data rate are grouped together. We describe an algorithm for implementing data rate based grouping at the access point (AP). Further, we describe an analytical procedure to find the network throughput under data rate based grouping. Through numerical and experimental investigations, we establish that data rate based grouping can significantly improve the aggregate network throughput performance, as compared to the conventional random grouping strategy. Further, we use Jainxe2x80x99s fairness index (JFI) to establish that data rate based grouping can also provide fair resource allocation among the STAs operating at distinct data rates, by ensuring that all the competing STAs in the network achieve throughput proportional to their data rates.