Abstract-In this paper, several Admission Control (AC)algorithms are presented and evaluated in a Joint Radio Resource Management (J-RRM) environment where several Radio Access Technologies (RATs) coexist. The considered policy-based AC algorithms make use of load-balancing concepts. Performance assessment is based on simulations. During the analysis, the AC methods were compared against the non-joint AC scheme, which was considered as a benchmark. Results show that overall network behavior and the best AC algorithm prove dependent on coverage radius, terminal capabilities and network capacities. Nonetheless, results show that, in some cases, AC algorithms for JRRM schemes can reach 60-80% traffic gains when compared to the non-joint scheme.
Batteries are a primary resource in wireless networks for many mobile devices. Minimizing energy consumption without affecting communication activities is crucial to prolong the lifetime and improve the robustness of the wireless connection. One effective way to reduce energy consumption is to set the entire, or part of the system in a low power mode whenever possible. This paper explores a power saving approach for VoIP and presents a new power saving scheme that does not require extra protocol overhead or modifications to operate. Adopting this scheme potentially allows considerable power savings without any adverse effect on VoIP quality. Evidence of this is in simulation results, showing that a device can enter sleep mode for over 75% of the time, with no decrease in throughput.
Mobile network operators often use handover statistics to improve the structure of their networks. However, such statistics only reflect the movement of connected users. In this paper, a thorough investigation of the correlation between idle and connected user mobility statistics is performed based on measurements from a live GSM network. A multiple regression model is proposed to estimate the number of location updates due to mobility and non-mobility reasons on a per-cell basis from measurements in the network management system. Results shown that, although the number of location updates can normally be predicted accurately from handover statistics, especially when aggregated over large geographical areas, large deviations are observed in cells of lower layers in multi-tier networks.
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