A dynamic access point allocation algorithm for dense wireless LANs using potential game

Abstract

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A Centralized Win‐Win Cooperative Framework for Wi‐Fi and 5G Radio Access Networks

“…Hence, the connectivity with respect to the common scheme behind cellular/Wi-Fi network selection corresponds to either the Wi-Fi network if prioritized by the UE or the network providing a sufficient SINR. Furthermore, in the specific case of Wi-Fi, an AP selection approach for native Wi-Fi stations only (STAs), such as laptops, is usually based on the best Received Signal Strength Indicator (RSSI) as recommended by the IEEE 802.11 standards [9]. Therefore, standard network access approaches suffer the following crucial problems: (1) they easily cause network congestion because the bandwidth offered by current Wi-Fi is not sufficient to satisfy the increasingly demanding requests of UEs and STAs; (2) they penalize Wi-Fi networks because dual-interface UEs might congest them, even if such UEs can obtain a sufficient quality of connection through cellular networks; (3) they do not allow offloading of traffic from Wi-Fi to cellular networks that might alleviate Wi-Fi congestion without disruption to UEs connected to cellular networks; (4) they do not consider users' applications as a factor, which could affect the overall network performance; (5) they neglect that, to date, leveraging Wi-Fi networks has not solved cellular operators' bandwidth problems.…”

“…Cellular Networks. Some works in the literature have proposed approaches to enable coordination among wireless users through harmonious coexistence between Wi-Fi and cellular networks in the unlicensed spectrum trying to address the limitations found in works that do not consider cooperation [9][10][11]. Some papers use techniques such as Clear Channel Assessment (CCA), Listen-Before-Talk (LBT), or Duty-Cycle Muting (DCM), meaning that a mobile device can transmit only when no ongoing transmission is observed for a specified period [13][14][15][16].…”

“…High levels of interference, for instance, make a certain node suitable only for users experiencing low data rate applications. An example of how the use of SDR can be leveraged to monitor interference can be found in [23], whereas a work that illustrates the benefits of controlling interference in a SDN-based framework to reduce their negative effects can be found in paper [9]. Moreover, note that in the advocated framework, native Wi-Fi devices such as laptops and smart TVs are considered 5 Wireless Communications and Mobile Computing dual-interface devices in order to allow their connection to both Wi-Fi and cellular networks.…”

“…Staying with Wi-Fi and cellular networks, which undoubtedly represent the most ubiquitous and commonly used wireless technologies, we argue that although many radio resource management solutions can be found in the literature, which achieve encouraging performance results [9][10][11], they lack efficient coordination in the unlicensed bands that might be a key solution to optimize the use of bandwidth and provide adequate 4A connections among both Wi-Fi and cellular networks users. The main problem related to these technologies that should be addressed through efficient coordination is that cellular networks selfishly occupy bands commonly used by Wi-Fi networks, generating interference with Wi-Fi.…”

“…The main problem related to these technologies that should be addressed through efficient coordination is that cellular networks selfishly occupy bands commonly used by Wi-Fi networks, generating interference with Wi-Fi. For instance, in [9], we have illustrated how Wi-Fi networks are located in environments where certain Access Points (APs) can be exposed to external interference from inaccessible sources. Moreover, the overcrowding of Wi-Fi networks forces mobile 4G/5G wireless Users Equipment (UE) to renounce connecting to Wi-Fi and to prefer the use of cellular networks.…”