Convergence analysis of saddle point problems in time varying wireless systems—Control theoretical approach
Saddle point problems arise from many wireless applications, and primal-dual iterative
algorithms are widely applied to find the saddle points. In the existing literature, the …
algorithms are widely applied to find the saddle points. In the existing literature, the …
Distributed packet forwarding and caching based on stochastic network utility maximization
Cache-enabled network architecture has great potential for enhancing the efficiency of
content distribution as well as reducing the network congestion. This, in turn, has called for …
content distribution as well as reducing the network congestion. This, in turn, has called for …
Distributed power control in a two-tier heterogeneous network
This paper investigates downlink distributed power control for femtocell networks with QoS
provisioning for macro-cell user equipments (MUE). Specifically, we propose two non …
provisioning for macro-cell user equipments (MUE). Specifically, we propose two non …
Averaged iterative water-filling algorithm: Robustness and convergence
The convergence properties of the iterative water-filling (IWF) based algorithms have been
derived in the ideal situation where the transmitters in the network are able to obtain the …
derived in the ideal situation where the transmitters in the network are able to obtain the …
Potential of network energy saving through handover in HetNets
We propose a handover (HO) strategy that helps minimize energy consumption at base
stations (BSs) in heterogeneous networks. To conserve energy at BSs, the proposed …
stations (BSs) in heterogeneous networks. To conserve energy at BSs, the proposed …
Distributive network utility maximization over time-varying fading channels
Distributed network utility maximization (NUM) has received an increasing intensity of
interest over the past few years. Distributed solutions (eg, the primal-dual gradient method) …
interest over the past few years. Distributed solutions (eg, the primal-dual gradient method) …
Learning equilibrium play for stochastic parallel gaussian interference channels
X Lin, TM Lok - arXiv preprint arXiv:1103.3782, 2011 - arxiv.org
Distributed power control for parallel Gaussian interference channels recently draws great
interests. However, all existing works only studied this problem under deterministic …
interests. However, all existing works only studied this problem under deterministic …
[图书][B] Downlink interference management and resource sharing in heterogeneous networks
H Wang - 2016 - search.proquest.com
To cope with the ever-increasing cellular traffic demand, the heterogeneous network is
introduced to densify the cells for places where that is most needed. However …
introduced to densify the cells for places where that is most needed. However …
Iterative primal-dual scaled gradient algorithm with dynamic scaling matrices for solving distributive NUM over time-varying fading channels
In this paper, we investigate the convergence behavior of the primal-dual scaled gradient
algorithm (PDSGA) for solving distributed network utility maximization problems under time …
algorithm (PDSGA) for solving distributed network utility maximization problems under time …