Scheduling algorithms for multihop radio networks
IEEE/ACM Transactions on Networking (TON)
Randomized algorithms
Code assignment for hidden terminal interference avoidance in multihop packet radio networks
IEEE/ACM Transactions on Networking (TON)
A Scheduling Framework for UWB & Cellular Networks
BROADNETS '04 Proceedings of the First International Conference on Broadband Networks
Topology control meets SINR: the scheduling complexity of arbitrary topologies
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Multihop cellular networks: Technology and economics
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Cross Layer Routing Protocol for Multihop Cellular Networks
Wireless Personal Communications: An International Journal
Channel Assignment for Multihop Cellular Networks: Minimum Delay
IEEE Transactions on Mobile Computing
Joint scheduling and power control for wireless ad hoc networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Hi-index | 0.00 |
Probability of error based Spatial Code Division Multiple Access scheduling algorithm is presented in this paper to systematically reuse the orthogonal CDMA codes in a given cell for Multihop Cellular Network. We assign and reuse the CDMA codes to peer-to-peer links such that the probability of error in all scheduled links are below certain threshold. The proposed scheduling algorithm PoE-LinkSchedule involves two phases. In the first phase we present a scheduling metric "Probability of Error (PoE)" as a function of first and second order statistics of wireless channel coefficients between nodes. The second phase presents a graph theoretical as well as PoE based centralized scheduling algorithm. For a graph of network with n number of nodes, U number of links and 驴 thickness, the proposed scheduling algorithm has computational complexity of O(Unlogn + Un驴) as opposed to O(U U ) in the case of exhaustive search algorithm. The performance of the proposed algorithm is evaluated in terms of spatial reuse and end-to-end throughput. We show that the proposed algorithm has considerably higher end-to-end throughput and higher spatial reuse compared to existing link scheduling algorithms.