Channel access and interference issues in multi-code DS-CDMA wireless packet (ATM) networks
Wireless Networks - Special issue on wireless multimedia networking
Start-time fair queueing: a scheduling algorithm for integrated services packet switching networks
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Adapting packet fair queueing algorithms to wireless networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A slotted CDMA protocol with BER scheduling for wireless multimedia networks
IEEE/ACM Transactions on Networking (TON)
Fair scheduling in wireless packet networks
IEEE/ACM Transactions on Networking (TON)
An uplink CDMA system architecture with diverse QoS guarantees for heterogeneous traffic
IEEE/ACM Transactions on Networking (TON)
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
High data-rate packet communications for cellular networks using CDMA: algorithms and performance
IEEE Journal on Selected Areas in Communications
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Code Division Multiple Access (CDMA) systems continue to be critical building blocks of future high performance wireless and mobile computing systems. While CDMA systems are very mature for voice services, their potentials in delivering high quality data services (e.g. multimedia messaging services) are yet to be investigated. One of the most crucial components in an advanced wideband CDMA system is the judicious allocation of band width resources to both voice and high data rate services so as to maximize utilization while satisfying the respective quality of service requirements. Specifically, in a multicode CDMA system, the goal is to intelligently allocate codes to the users' requests. While previous work in the literature has addressed this problem from a capacity point of view, the fairness aspect, which is also important from the users' point of view, is largely ignored. In this paper, we propose a new code allocation approach that is channel adaptive and can guarantee fairness with respect to the users' channel conditions. Simulation results show that our approach is more effective than the proportional fair approach.