Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Packet Scheduling with QoS Differentiation
Wireless Personal Communications: An International Journal
Code Placement and Replacement Strategies for Wideband CDMA OVSF Code Tree Management
IEEE Transactions on Mobile Computing
Efficient OVSF Codes Assignment Strategy and Management Architecture in Wideband CDMA
BROADNETS '04 Proceedings of the First International Conference on Broadband Networks
IEEE Transactions on Mobile Computing
Dynamic bandwidth allocation with fair scheduling for WCDMA systems
IEEE Wireless Communications
Reducing internal and external fragmentations of OVSF codes in WCDMA systems with multiple codes
IEEE Transactions on Wireless Communications
Dynamic assignment of orthogonal variable-spreading-factor codes in W-CDMA
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Reducing wastage capacity in OVSF based CDMA networks using dynamic rake combiners
WSEAS TRANSACTIONS on COMMUNICATIONS
Graph model for optimal OVSF code placement strategies
International Journal of Ad Hoc and Ubiquitous Computing
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This paper handles the internal and external fragmentation problems of WCDMA systems using Orthogonal Variable Spreading Factor (OVSF) codes. Internal fragmentation occurs when the allocated data rate is larger than what is requested, while external fragmentation occurs when the OVSF code tree is too fragmented to support a call even if there is sufficient capacity remaining in the code tree. The key factor in solving these two problems is the OVSF code assignment strategy. Most works in the literature do not consider the time-varying and location-dependent channel conditions. In this paper, we formulate the fragmentation problem as a multiple knapsack problem where each OVSF code is considered as a knapsack. We propose single-code, time-shared strategies that consider channel conditions while solving these fragmentation problems. Simulation results verify that our strategies efficiently use the precious wireless bandwidth.