Abstract
The system performance of an integrated UMTS network with both High-Speed Downlink Packet Access users and Release '99 QoS users depends on many factors like user location, number of users, interference, multipath propagation profile, and radio resource sharing schemes. Additionally, the user behavior is an important factor; users of Internet best-effort applications tend to follow a volume-based behavior, meaning they stay in the system until the requested data is completely transmitted. In conjunction with the opportunistic transmission scheme implemented in HSDPA, this has implications to the spatial distribution of active users as well as to the time-average user and cell throughput. We investigate the relation between throughput, volume-based user behavior and traffic dynamics with a simulation framework which allows the efficient modeling of large UMTS networks with both HSDPA and Release '99 users. The framework comprises an HSDPA MAC/physical layer abstraction model and takes network aspects like radio resource sharing and other-cell interference into account.
Highlights
Mobile network operators continue to deploy the HighSpeed Downlink Packet Access (HSDPA) service in their existing Universal Mobile Telecommunication System (UMTS) networks
We investigate the relation between throughput, volume-based user behavior and traffic dynamics with a simulation framework which allows the efficient modeling of large UMTS networks with both HSDPA and Release ’99 users
A key issue of the radio resource management in HSDPA enhanced UMTS networks is the sharing of code and power resources between dedicated channel (DCH), signaling channels, common channels, and channels required for the HSDPA, namely, the High-Speed Downlink Shared channel (HS-DSCH) and the HS-SCCH
Summary
Mobile network operators continue to deploy the HighSpeed Downlink Packet Access (HSDPA) service in their existing Universal Mobile Telecommunication System (UMTS) networks. HSDPA introduces a new paradigm to UMTS; instead of adapting the transmit power to the radio channel condition in order to ensure constant link quality, HSDPA adapts the link quality to the radio channel conditions. This enables a more efficient use of scarce resources like transmit power, channelization codes, and hardware components. An important aspect of HSDPA systems is the perceived fairness of the connection metrics between the users This is in contrast to pure UMTS Release ’99, where the circuitswitched design of the radio bearers guarantees equal Quality of Service (QoS) properties of all users of the same service class [1].
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