Spectrum Sharing Etiquette Considering Primary User Activity Pattern in Dynamic TVWS via Cournot Game Theory

Television White Space (TVWS) networks only utilizes a licensed channel in the absence of a primary user network (PUN). Therefore, the performance of TVWS networks are greatly depended on activity pattern of PUN. In this paper, we address the problem of spectrum sharing in cognitive radio environment consisting of PUN and TVWS networks from the perspective of spectrum quality. We propose a self‐indicating distributive dynamic Cournot spectrum economic game using non‐cooperative game. To capture the dynamic parameter that characterizes dynamic TVWS, a differentiating parameter known as the Channel Instability Index (CII), β, was introduced to grade the leased PUN channel holding time (with consideration of the time‐varying radio attributes of the dynamic TVWS environment) and to enforce truthfulness in spectrum transactions. Based on the CII model, two possible scenarios were considered. Case I occurs if β = 0, which signifies stable PUN bandwidth and Case II, occurs if 0.1 ≤ β ≤ 0.9, which denotes an unstable PUN bandwidth spectrum. Based on our model, it was showed that utility and QoS measured in‐terms of probability of dropped packets of TVWS networks were increased by more than 15 % in any epoch with the key enabler as β

Cooperative Spectrum Sharing in Cognitive Radio Networking

Driven by the massive growth in communications data traffic as well as flourishing users' demands, we need to fully utilize the existing scarce spectrum resource. However, there have been several studies and reports over the years showing that a large portion of licensed spectrum is actually underutilized in both temporal and spatial domains. Moreover, aiming at facing the dilemma among the fixed spectrum allocation, the ever enormous increasing traffic demand and the limited spectrum resource, cognitive radio (CR) was proposed by Mitola to alleviate the under usage of spectrum. Thus, cognitive radio networking (CRN) has emerged as a promising paradigm to improve the spectrum efficiency and utilization by allowing secondary users (SUs) to utilize the spectrum hole of primary users (PUs). By using spectrum sensing, SUs can opportunistically access spectrum holes for secondary transmission without interfering the transmissions of the PUs and efficient spectrum utilization by multiple PUs and SUs requires reliable detection of PUs. Nevertheless, sensing errors such as false alarm and misdetection are inevitable in practical networks. Hence, the assumption that SUs always obtain the exact channel availability information is unreasonable. In addition, spectrum sensing must be carried out continuously and the SU must terminate its transmission as soon as it senses the re-occupancy by a PU. As a better alternative of spectrum sensing, cooperation has been leveraged in CRN, which is referred as cooperative cognitive radio networking (CCRN). In CCRN, in order to obtain the transmission opportunities, SUs negotiate with the PUs for accessing the spectrum by providing tangible service for PUs. In this thesis, we study cluster based spectrum sharing mechanism for CCRN and investigate on exploiting the cooperative technique in heterogeneous network. First, we develop cooperation protocols for CRN. Simultaneous transmission can be realized through quadrature signalling method in our proposed cooperation protocol. The optimal power allocation has been analyzed and closed-form solution has been derived for amplify and forward mode. Second, we study a cluster based spectrum sharing mechanism. The spectrum sharing is formulated as a combinatorial non-linear optimization problem which is NP-hard. Afterwards, we solve this problem by decomposing it into cluster allocation and time assignment, and we show that the result is close to the optimal solution. Third, we propose a macrocell-femtocell network cooperation scheme for heterogeneous networks under closed access mode. The cooperation between the femtocell network and macrocell network is investigated. By implementing the cooperation, not only the macrocell users' (MUEs') and femtocell users' (FUEs') utility can be improved compared with the non-cooperation case, but also the energy consumption as well as the interference from the femtocell network to the macrocell network can be reduced

Spectrum Mobility Games

Cognitive radio gives users the ability to switch channels and make use of dynamic spectrum opportunities. However, switching channels takes time, and may affect the quality of a user’s transmission. When a cognitive radio user’s channel becomes unavailable, sometimes it may be better waiting until its current channel becomes available again. Motivated by the recent FCC ruling on TV white space, we consider the scenario where cognitive radio users are given the foreknowledge of channel availabilities. Using this information, each user must decide when and how to switch channels. The users wish to exploit spectrum opportunities, but they must take account of the cost of switching channels and the congestion that comes from sharing channels with one another. We model the scenario as a game which, as we show, is equivalent to a network congestion game in the literature after proper and non-trivial transformations. This allows us to design a protocol which the users can apply to find Nash equilibria in a distributed manner. We further evaluate how the performance of the proposed schemes depends on switching cost using real channel availability measurements