Use prediction of channel state information Sample Clauses

Use prediction of channel state information. The coordination delays within a cluster of cooperating nodes may be significant. The channel state information at the transmitters, which needs to be quite accurate, is then degraded by outdating. The use of channel prediction based on noisy past and present channel samples, as discussed in Subsection 5.3.2 and A4-2 below, can predict the channel at the future instant when the downlink transmission will take place. This can compensate for backhaul time delays and extend the range of mobility for which JT CoMP can be used. Compared to using outdated estimates, prediction can almost triple the useful terminal velocity for a given delay, or delay for a given velocity. The interference floor shaping facilitates channel prediction. An integrated design that is based on the above principles is presented in Xxxxxxxx X0-0, and it is accompanied by a performance evaluation based on channel sounding measurements. The balancing of the parts of the design, and a discussion of the attainable performance gains, can be found in Subsection 5.4. We have here focused on FDD downlinks in OFDM systems and also on homogenous deployments, in regular patterns of macro cells or micro cells. Indoor users have not been in focus as CoMP gains are small in noise-limited conditions. Noise-limited indoor users are better served by solutions that provide better indoor coverage such as indoor base stations. Apart from the core framework, the work has produced a number of further important insights. In particular, we have studied the problem of decentralized design of coherent linear precoders, based on not fully consistent distributed channel state information, see Appendix A4-1. Robust MIMO precoding design schemes for this problem are presented in Subsection 5.3.1 and Appendix A2-7. We also discuss feedback requirements for FDD downlinks (Subsection 5.3.3, A2.2.8 in Xxxxxxxx X0-0 and Appendices A4-4 and A4-5). The following appendices are directly related to Chapter 5: A2-1: Robust linear precoding with per-base-station power constraints. A2-2: An integrated design for downlink Joint Transmission CoMP. A2-3: Joint scheduling and power control with non-coherent transmission. A2-4: Waterfilling schemes for Zero-Forcing coordinated transmission. A2-5: Dynamic partial joint processing. A2-6: Resource allocation for OFDMA Joint Processing CoMP. A2-7: Robust precoding with distributed channel state information. A4-1: Centralized/decentralized joint transmission with limited signalling infor...
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