Computational geometry: an introduction
Computational geometry: an introduction
Vector quantization and signal compression
Vector quantization and signal compression
CDMA: principles of spread spectrum communication
CDMA: principles of spread spectrum communication
Adaptive power control and MMSE interference suppression
Wireless Networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Optimality of greedy power control and variable spreading gain in multi-class CDMA mobile networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Adaptive allocation of CDMA resources for network-level QoS assurances
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Machine Learning
Wireless Personal Communications
Wireless Personal Communications
Mobile Cellular Telecommunications: Analog and Digital Systems
Mobile Cellular Telecommunications: Analog and Digital Systems
Differentiated services in wireless data networks
WOWMOM '02 Proceedings of the 5th ACM international workshop on Wireless mobile multimedia
Quality of service for multimedia CDMA
IEEE Communications Magazine
IEEE Transactions on Mobile Computing
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Optimal power control is of great importance for CDMA systems and it can be controlled to provide the desired quality of service (QoS) to mobile hosts in a cellular radio system. The power levels of all the mobile hosts are determined and constantly tuned in order to achieve the required SINR (signal to interference and noise ratio) which changes dynamically. The SINR of all the K mobiles in a cell can be expressed in the form of a k-dimensional vector. It helps determine the operating point of the system and hence it is constantly monitored and updated due to the variability in the wireless channel conditions and user mobility. We view this continuously changing vector as the motion of a point in a higher dimensional Euclidean space, called the QoS space. We apply vector quantization technique to shrink the infinite-point space to a finite-point space by partitioning the former into N regions such that the points within a region reflect almost similar system performance and are identified by what we call a QoS index. We show how the system operating point can be mapped to one of the QoS indices. The location of the point or the region of operability in the QoS space conveys the system status in terms of the current load and the QoS being delivered. The dynamism in the system's input conditions due to wireless link characteristics and user mobility acts like an opposing force against which the system has to operate. The system reacts to all such changes preventing it from going into a region with an undesirable QoS index. We show how the apriori knowledge of the operating region helps in decision making pertaining to call admission and resource allocation in CDMA systems.