Performance analysis of digital transmission systems
Performance analysis of digital transmission systems
Energy efficient indexing on air
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Broadcast disks: data management for asymmetric communication environments
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Log-time algorithms for scheduling single and multiple channel data broadcast
MobiCom '97 Proceedings of the 3rd annual ACM/IEEE international conference on Mobile computing and networking
Minimizing service and operation costs of periodic scheduling
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
The data broadcast problem with non-uniform transmission times
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Polynomial-time approximation scheme for data broadcast
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Efficient Data Allocation over Multiple Channels at Broadcast Servers
IEEE Transactions on Computers
Multi-Level Multi-Channel Air Cache Designs for Broadcasting in a Mobile Environment
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Optimal Index and Data Allocation in Multiple Broadcast Channels
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Optimal Skewed Data Allocation on Multiple Channels with Flat Broadcast per Channel
IEEE Transactions on Computers
Scheduling and Call Admission Control for Burst-Error Wireless Channels
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
Efficient heuristics for data broadcasting on multiple channels
Wireless Networks
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Broadcasting is an efficient and scalable way of transmitting data over wireless channels to an unlimited number of clients. In this paper the problem of allocating data to multiple channels is studied, assuming flat data scheduling per channel and the presence of unrecoverable channel transmission errors. The objective is that of minimizing the average expected delay experienced by the clients. Two different channel error models are considered: the Bernoulli model and the simplified Gilbert---Elliot one. In the former model, each packet transmission has the same probability to fail and each transmission error is independent from the others. In the latter one, bursts of erroneous or error-free packet transmissions due to wireless fading channels are modeled. Particular cases are detected where optimal solutions can be found in polynomial time. For general cases, simulations show that good sub-optimal solutions can be found on benchmarks whose item popularities follow Zipf distributions.