By Christina Comaniciu, Narayan B. Mandayam, H. Vincent Poor
Cross-layer layout seeks to reinforce the ability of instant networks considerably in the course of the joint optimization of a number of layers within the community, basically the actual (PHY) and medium entry keep an eye on (MAC) layers. even supposing there are benefits of such layout in wireline networks besides, this procedure is especially effective for instant networks as a result of the houses (such as mobility and interference) that strongly impact functionality and layout of upper layer protocols.
This exact monograph is anxious with the difficulty of cross-layer layout in instant networks, and extra really with the effect of node-level multiuser detection on such layout. It presents an advent to this shiny and energetic examine quarter insufficiently lined in present literature, providing the various central equipment built and effects got thus far. observed via a variety of illustrations, the textual content is a superb reference for engineers, researchers and scholars operating in communique networks.
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Extra resources for Wireless Networks: Multiuser Detection in Cross-Layer Design (Information Technology: Transmission, Processing and Storage)
The rate of adaptation for a protocol is determined by its location in the protocol stack. However. information exchange between layers and joint optimization may greatly improve the system performance. Fundamental questions that must be answered in cross-layer design are: what information should be exchanged among layers, and how should such information be factored into each layer's performance adaptation algorithm [Goldsmith and Wicker, 2002]? In this book, we address these questions in the context of integrating the network and physical layer performance in wireless networks using multiuser receivers.
Notice that the linear filters and the optimal receiver have very similar performance for the equal received power case, which represents the best case for the suboptimal receivers, but a worst for the optimal receiver. However, a very significant gain in performance is achieved in general compared with the matched filter case. In terms of complexity, both the decorrelating and LMMSE receivers require computing the inverse of a K x K matrix related t o the correlation matrix of the signature sequences, which can be achieved with 0 ( K 3 ) complexity.
Power tradeoff regions for two users employing succesive interference cancellation detector 34 MULTIUSER DETECTION IN CROSS-LAYER DESIGN The power tradeoff regions are shown in Fig. 13 for a target biterror rate of lo-? We first notice an asymmetric performance for the two users. This is an inherent property of the succesive interference cancellation scheme: while the user decoded first is strongly affected by the power of the interfering user (matched filter performance), the second user might have performance close to the single user system.