Mobile backhaul has moved to the forefront of wireless industry hot topics. The progressive deployment of spectrally efficient radio access technologies (e.g. HSPA, LTE, WiMAX) in mobile broadband is turning into stringent capacity requirements on the backhaul network. This makes backhaul capacity to become a potential network bottleneck in some deployment scenarios. While more cost-efficient transmission technologies are needed to increase the capacity of mobile backhaul, optimization solutions...
Mobile backhaul has moved to the forefront of wireless industry hot topics. The progressive deployment of spectrally efficient radio access technologies (e.g. HSPA, LTE, WiMAX) in mobile broadband is turning into stringent capacity requirements on the backhaul network. This makes backhaul capacity to become a potential network bottleneck in some deployment scenarios. While more cost-efficient transmission technologies are needed to increase the capacity of mobile backhaul, optimization solutions to get the most out of the backhaul capacity are also necessary. This paper analyses the possibility to exploit load balancing among base stations to improve backhaul capacity utilization. Load balancing is realized through cell selection algorithms accounting for both radio interface and backhaul conditions. An analytical model aimed at evaluating the performance of cell selection strategies for mobile networks with backhaul capacity constraints is developed. The analytical model is used to evaluate the performance of a novel backhaul-aware cell selection algorithm and compare it with classical schemes based exclusively on radio information. Obtained results show that the proposed algorithm can achieve a utilization of backhaul resources higher than the traditional cell selection schemes while providing the same radio interface performance. Analytical results have been verified by means of simulation.
Wireless communications technologies play an essential role to support the Public Protection and Disaster Relief (PPDR) operational needs. The current Private/Professional Mobile Radio (PMR) technologies used for PPDR communications offer a rich set of voice-centric services but have very limited data transmission capabilities, which are unable to handle the increasing PPDR community demand for a wider range of data-centric services. Though some efforts have been devoted to upgrade PMR technologies with better data transfer capabilities, the progression towards an enhanced mobile broadband PMR standardized solution still lags behind the achievements made in the commercial wireless industry, which recently culminated in Long- Term Evolution (LTE) technology. Because of this contrasting progress, the adoption of commercial mainstream LTE technology to satisfy the PPDR community's data communication needs is gaining momentum and offers significant opportunities to create and exploit the synergies between the commercial and PPDR domains, which have remained almost entirely separate to date. In this context, this paper first discusses the suitability of LTE and related technologies for mobile broadband PPDR service provisioning. Next, it presents the argument that the most plausible future scenarios to deliver the increasingly data-intensive applications demanded by the PPDR agencies are expected to rely on the use of both dedicated and commercial LTE-based mobile networks. From this basis, the paper proposes a system architecture solution for PPDR service provisioning that enables PPDR service access through dedicated and commercial networks in a secure and interoperable manner and ensures proper allocation of the networks' capacity to PPDR applications through the dynamic management of prioritization policies. In addition, the spectrumrelated issues that are central to the proposed PPDR service provisioning solution are addressed, and a solution based on the joint e- ploitation of dedicated and shared spectra is proposed.
Olmos, J.; Ferrús, R.; Galeana-Zapien, H. Analytical modeling and performance evaluation of cell selection algorithms for mobile networks with backhaul capacity constraints. "IEEE transactions on wireless communications", 28 Octubre 2013, vol. 51, núm. 10, p. 154-161.