Louis C. K., on his television projects and in his stand-up, tends to work on the blue end of the spectrum, trafficking in melancholy as well as profanity.
Therefore, these roads are good candidates to find a broad spectrum of traffic situations ranging from free flowing traffic to traffic jam.
In our model, PUs exchange channels based on the spectrum demand and traffic load.
If one cell is heavily loaded while neighbor cells have light traffic, spectrum is not being used efficiently.
On the other hand, in CRNs with heterogeneous traffic, spectrum adaptation is perhaps the most important mechanism to provide QoS provisioning among the different classes of traffic [10].
The work in [44] formulated the RRH selection problem as a trade-off between the minimization of power consumption and transmission power, while satisfying a series of network constraints (i.e., spectrum limitations and traffic requirements).
Other factors contributing to the preferred choice of the access technology are addressed in[9], where aspects such as coverage, securing QoS for the requested service, minimizing the cost of delivering the service to the end user and maximizing the spectrum utilization by traffic packaging are considered to select the access technology.
In order to limit the number of results presented in the paper, we selected the following three scenarios which mostly cover a wide spectrum of potential traffic scenarios: Urban road: high vehicular density (β = 80 veh/km) and low speed (v = 50 km/h).
We assume that these parameters are changed over time corresponding to the network conditions, such as traffic load, spectrum demand, and spectrum cost.
Two different VA loading spectrums, generated using traffic data and influence lines for highway bridge girders, were used.
