A large system analysis of weighted sum rate maximization of single stream MIMO interference broadcast channels under linear precoding

using the local channel information but uses the intercell interference given by Algorithm 1 using (22). c) The up-to- date intercell interference strategy where for every iteration

In this section, we evaluate the performance of the proposed algorithms through simulations, for M = 2 transmit anten- nas, and we compare their sum rate with three

WEIGHTED SUM RATE MAXIMIZATION OF MISO INTERFERENCE BROADCAST CHANNELS VIA DIFFERENCE OF CONVEX FUNCTIONS PROGRAMMING: A LARGE..

WEIGHTED SUM RATE MAXIMIZATION OF CORRELATED MISO INTERFERENCE BROADCAST CHANNELS UNDER LINEAR PRECODING: A LARGE SYSTEM ANALYSIS.. Wassim Tabikh ¶‡ Dirk Slock ¶ Yi

Consider a single frequency reuse cellular network as shown in fig. The system model is similar to the model of the previous section but now the two spatial streams arriving at the

Although the finite SNR rate analysis in the distributed CSI model in (5) is challenging in the general case because of the dependency of one user performance on all channel

Degrees of Freedom (DoF) and Interference Alignment (IA) Weighted Sum Rate (WSR) maximization and UL/DL duality Deterministic Annealing to find global max WSR. distributed Channel

By applying re- cent results from random matrix theory we derive a deterministic equivalent of the signal-to-interference plus noise ratio (SINR) and compute the sum rate