Resource Allocation with User Discrimination for Spectrum Sharing

Abstract

In this chapter, we focus on the problem of radio resource allocation with user discrimination for different scenarios in cellular networks. First, we present a resource allocation with user discrimination approach for spectrum sharing between public safety and commercial users. It is important to have a common technical standard for commercial and public safety users as it provides advantages for both. The public safety systems market is much smaller than the commercial cellular market which makes it unable to attract the level of investment that goes in to commercial cellular networks and this makes a common technical standards for both the best solution. The public safety community gains access to the technical advantages provided by the commercial cellular networks whereas the commercial cellular community gains enhancement in their systems and makes it more attractive to consumers. The National Public Safety Telecommunications Council (NPSTC) and other organizations recognized the desirability of having an inter operable national standard for a next generation public safety network with broadband capabilities. The USA has reserved spectrum in the 700 MHz band for an LTE based public safety network. The current public safety standards support medium speed data which drives the need of new technology to add true mobile broadband capabilities and makes LTE the baseline technology for next generation broadband public safety networks.

Then, we provide a resource allocation with user discrimination optimization framework in cellular networks for different types of users running multiple applications simultaneously. Mobile users are now running multiple applications simultaneously on their smart phones. Operators are moving from single-service to multi-service and new services such as multimedia telephony and mobile-TV are now provided. In addition, different users subscribing for the same service may receive different treatment from the network providers (Ekstrom, IEEE Commun. Mag. 47, 76–83, 2009; Ekstrom et al., IEEE Commun. Mag. 44, 38–45, 2006; Research, Mobile VoIP subscribers will near 410 million by 2015, VoLTE still a long way off, Infonetics Research, California, 2010; Solutions and Networks, Enhance mobile networks to deliver 1000 times more capacity by 2020, Nokia Solutions and Networks, 2013; Intelligence, Smartphone users spending more ‘face time’ on apps than voice calls or web browsing, GSMA Intelligence, 2011; Networks, Device Analyzer: Understanding Smartphone Usage, Computer Laboratory, University of Cambridge, Cambridge, 2011) because of the subscriber differentiation provided by the service providers. In addition, we present an efficient resource allocation with user discrimination framework for 5G Wireless Systems to allocate multiple carriers resources among users with elastic and inelastic traffic. As 5G systems’ expected capabilities have started to take shape, CA is expected to be supported by 5G. Therefore, CA needs to be taken into consideration when designing 5G systems. Beside CA capability, 5G wireless network promises to handle diverse QoS requirements of multiple applications since different applications require different application’s performance (Shen, IEEE Commun. Mag. 50, 122–130, 2012; Frequency spectrum wall chart, Commerce Dept., National Telecommunications and Information Administration, Office of Spectrum Management, 2016; Shenker, IEEE J. Sel. Areas Commun. 13, 1176–1188, 1995). Furthermore, certain types of users may require to be given priority when allocating the network resources (i.e., public safety users) which needs to be taken into consideration when designing the resource allocation framework.

The content in this chapter is reproduced with permission after modifications (License numbers 4078230417133 and 4078230144086). For the original article please refer to [1, 2].