The LEGO approach for achieving max-min capacity in reciprocal multipoint networks

A simple approach is presented for locally enabled global optimization (LEGO) of multinode networks with reciprocal internode transmit and receive channel responses. The method is applied here to the maximization of the minimum capacity achievable at each node in a multipoint network, where one or more nodes employ multielement antenna arrays allowing spatial filtering during transmit and receive operations. Simple and practical LEGO algorithms are described that exploit reciprocity locally at each node in the network, to globally optimize the uplink and downlink capacity of the network, and to remove co-channel interference impinging on the network from other sources. These results are illustrated using numerical simulations for a cellular multipoint TDD network demonstrating significant performance advantages over conventional networks.