Comparitive Evaluation of Geometric Dynamic Channel Allocation Over Other Channel Allocation Schemes

Wireless services are one of the strongest growth areas in telecommunications today. Cellular voice is well established as a high-end service in most areas, but demand is increasing rapidly. In cellular systems, the geographical region is split using a regular topology, into cells each containing one base station. The base station should assign a channel that is not currently used within some specified distance. There are many kinds of channel assignment methods used in mobile communication starting with Fixed Channel Assignment (FCA), through Dynamic Channel Assignment (DCA) and Hybrid Channel Assignment (HCA). Personal Communication Services (PCS's) have been introduced as a mass-market phone service. The capacity, however, is now a critical issue for all of these services. The solution to the increasing spectrum efficiency demand in Personal Communication Services (PCS's) is the implementation of Dynamic Channel Allocation (DCA) strategy with distributed control. This thesis concentrates on one ,specific class of dynamic channel allocation called the Geometric Dynamic Channel Allocation (GDCA). The main feature of the GDCA lies in its ability to organise the dynamic resource assignment so that the resulting carrier usage pattern resembles what corresponds to other strategies , as long as that is compatible with the offered traffic pattern. Besides that, the overall performance advantage of GDCA over other strategies increases , as the offered traffic becomes larger

Optimal channel allocation with dynamic power control in cellular networks

Techniques for channel allocation in cellular networks have been an area of intense research interest for many years. An efficient channel allocation scheme can significantly reduce call-blocking and calldropping probabilities. Another important issue is to effectively manage the power requirements for communication. An efficient power control strategy leads to reduced power consumption and improved signal quality. In this paper, we present a novel integer linear program (ILP) formulation that jointly optimizes channel allocation and power control for incoming calls, based on the carrier-to-interference ratio (CIR). In our approach we use a hybrid channel assignment scheme, where an incoming call is admitted only if a suitable channel is found such that the CIR of all ongoing calls on that channel, as well as that of the new call, will be above a specified value. Our formulation also guarantees that the overall power requirement for the selected channel will be minimized as much as possible and that no ongoing calls will be dropped as a result of admitting the new call. We have run simulations on a benchmark 49 cell environment with 70 channels to investigate the effect of different parameters such as the desired CIR. The results indicate that our approach leads to significant improvements over existing techniques.Comment: 11 page