Abstract
Code Division Multiple Access (CDMA) has been selected as the main technology for third generation (3G) mobile communication system. Traffic expectations of 3G are high whilst only limited spectrum is available. Any system enhancement that would increase capacity and improve spectral efficiency is highly desired. Power control is the single most important requirement of any CDMA based mobile communication system. Power control directly impacts the quality of service as well as system capacity. It is for this particular reason that adaptive power control schemes have been the subject of many researchers in recent years. In this thesis, a novel Environment Detection Algorithm (EDA), an essential component of adaptive communication systems is presented and extensively evaluated. EDA is an important enabling component of Speed Adapted Closed Loop Power Control (SA-CLPC). An advanced SA-CLPC is presented and its superiority in both terrestrial and satellite communication systems is clearly demonstrated. The work follows to introduce a novel interference management technique in the form of a distributed power control algorithm. The proposed algorithm outperforms all its rivals by maximising C/I in response to system load without the need to any knowledge of users in the neighbouring cells. Key words: CDMA, Power Control, Speed Estimation, Open Loop Power Control, Closed Loop Power Control, Adaptive Power Control, Environment Detection Algorithm, Delay Spread Estimation, Distributed Power Control, centralised Power Control.