Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Radio Resource Management for Wireless Networks
Radio Resource Management for Wireless Networks
Microwave Mobile Communications
Microwave Mobile Communications
Proceedings of the 10th annual international conference on Mobile computing and networking
Convergence of proportional-fair sharing algorithms under general conditions
IEEE Transactions on Wireless Communications
Downlink Radio Resource Allocation for Multi-Cell OFDMA System
IEEE Transactions on Wireless Communications
Asymptotically optimal water-filling in vector multiple-access channels
IEEE Transactions on Information Theory
IEEE Communications Magazine
Transmit power adaptation for multiuser OFDM systems
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Dynamic load balancing and throughput optimization in 3GPP LTE networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
α-optimal user association and cell load balancing in wireless networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Cell zooming for cost-efficient green cellular networks
IEEE Communications Magazine
Distributed α-optimal user association and cell load balancing in wireless networks
IEEE/ACM Transactions on Networking (TON)
Joint Load Balancing of Radio and Transport Networks in the LTE Systems
Wireless Personal Communications: An International Journal
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Next-generation cellular networks will provide higher cell capacity by adopting advanced physical layer techniques and broader bandwidth. Even in such networks, boundary users would suffer from low throughput due to severe inter-cell interference and unbalanced user distributions among cells, unless additional schemes to mitigate this problem are employed. In this paper, we tackle this problem by jointly optimizing partial frequency reuse and load-balancing schemes in a multi-cell network. We formulate this problem as a network-wide utility maximization problem and propose optimal offline and practical online algorithms to solve this. Our online algorithm turns out to be a simple mixture of inter- and intra-cell handover mechanisms for existing users and user association control and cell-site selection mechanisms for newly arriving users. A remarkable feature of the proposed algorithm is that it uses a notion of expected throughput as the decision making metric, as opposed to signal strength in conventional systems. Extensive simulations demonstrate that our online algorithm can not only closely approximate network-wide proportional fairness but also provide two types of gain, interference avoidance gain and load balancing gain, which yield 20-100% throughput improvement of boundary users (depending on traffic load distribution), while not penalizing total system throughput. We also demonstrate that this improvement cannot be achieved by conventional systems using universal frequency reuse and signal strength as the decision making metric.