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In this work we consider the optimization of the power assigned to the user streams, in a coordinated base station downlink environment, when zero-forcing is employed to remove interference among users. Two schemes based on the waterfilling technique are proposed and compared to the optimal solution, which can be obtained numerically, by using convex optimization. We show that the proposed schemes...
In this paper, we establish a rate duality between the forward and reverse links of MIMO interference channel, where the reverse links are obtained by exchanging the roles of transmitters and receivers in the forward links, and the corresponding channel matrices are conjugate transpose of the forward channel matrices. Since the capacity region for general interference channel is unknown, we show that...
This paper investigates the issue of resource allocation in heterogenous wireless networks, where users have a choice between multiple service providers. We investigate the feasibility of modeling the allocation problem as a probabilistic voting game. In other words, competing transmitters are modeled as candidates in an election, while the receivers form the electorate. Two specific examples are...
In this paper, we propose an adaptive random beamforming scheme with beam selection. In order to recover the orthogonality among beams, we adopt a minimum mean-square error (MMSE) interference suppression receiver for the orthogonal random beamforming (ORBF) scheme and find efficient power allocation strategies. Based on a proportional-fairness criterion, we propose a sub-optimal beam selection scheme...
In this paper, a novel precoder design method is proposed for maximizing MIMO capacity. Specifically, under equal power allocation, we employ the trellis exploration algorithm to design the precoding matrix such that the condition number of the resulting effective channel matrix is minimized. Since the trellis exploration algorithm operates on a finite set of phases, the polyphase precoder is first...
In this paper, we develop a general mathematical framework to incorporate dynamic spectrum access in a multiuser MIMO network. This framework is particularly helpful in computing the maximum achievable system capacity of a resulting multiple-band multiuser MIMO network. The mathematical formulation to maximize the system capacity is shown to be quite similar to that of a well studied single-band multiuser...
We investigate high spectral efficiency wireless multiple-input multiple-output (MIMO) systems in fading environments. We assume frequency flat fading, channel state information at both the transmitter and receiver sides, and linear preceding based on singular value decomposition (SVD). For this MIMO SVD scenario, the optimal solution in terms of achievable rate requires water-filling to optimally...
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