Scaling Capacity And Dependability For 4G Wireless Grid

To solve the core technology of capacity and dependability for the 4th generation mobile communications (4G), this paper pioneers extracting multiuser diversity and its cooperation essence of ad hoc network, and systematically researches cooperation's ability to cost-effectively scale capacity and dependability. From the start of 4G design, by bringing this innovation into cellular resource allocation, topology control, route reconstruction, environmental cognition, multi-layer optimization, and service provisioning, a new Integrated Ad-hoc and Infrastructure Network (IAIN) system is presented, with this viewpoint: 4G not only should improve at one single link, but moreover can significantly scale its network capacity, from the discovery since 2000 of increasing network throughput capacity with the number of nodes in a unit area and random topology.Based on IAIN, amidst challenging limits such as interferences, and from network information theory, the following schemes are devised of increasing capacity through:Infrastructure. By deploying random-distributed APs, its capacity is shown, increasing spectrum efficiency and power efficiency.Mobility. By exploiting the mobility-equivalent link throughput, it increases spectrum efficiency and power efficiency, at the cost of delay. Its delay-limited capacity is derived.Interference Cancellation. By trading complexity for spectrum efficiency and power efficiency, a coherent multi-stage adaptive scheme is presented, and its capacity perturbation is shown.Directional antennas. By increasing spatial reuse, it increases spectrum efficiency and power efficiency. From its capacity increase, it is incorporated into the above scheme.UWB. By increasing bandwidth, it increases power efficiency, lowering spectrum efficiency only in a traditional sense. Using any-dimensional percolation with fading, its power-limited capacity is derived.Multi-channels. By transmitting simultaneously, it increases spectrum efficiency and power efficiency, at a cost of channel switch. The effect of network interface number and channel number on capacity is shown.With these schemes, dynamic"coop-petition"equilibrium for wireless resource is presented among IAIN distributed nodes with win-win and sharing cooperation as well as independent and autonomous competition, increasing resource configuration efficiency. Research on dependable topology shows that, through IAIN real-time coop-petitive topology control based on group mobility and stochastic geometry, a probabilistic coverage-extending minimum necessary connected dominant set is maintained. An IAIN reactive cognitive dependable routing management with protocol-set negotiation is used. Furthermore, the unreliable communication links are abstracted into timed asynchronous network model. Considering node crash and Byzantine failure models, an IAIN fault-tolerant mechanism for dynamic coop-petition in topology variation is presented. A new dependable mobile information environment is constructed.Research on dependable low-power multi-layer optimization presents that, for both standby and transmission, a fine-grained sub-state transition mechanism and dynamic coop-petitive energy management strategy are provided. At the MAC layer, the conflict due to random access is minimized, and considering the energy cost due to reservation mechanism itself, a dependable low-power coop-petition protocol is designed. At the LLC layer, the link switchover strategy is selected based on reliable energy-saving node and connection. At the network layer, a min-max weighted total network transmission energy routing is used, where node processing workload and protocol overhead are reduced.Having solved the core technology, by using IAIN, a novel programmable platform of wireless grid is built. The sustainable scalabilities of capacity, spectrum efficiency, dependability, and power efficiency with node density are achieved at low cost, providing new solution for 4G.