24 research outputs found
Effective Capacity in Multiple Access Channels with Arbitrary Inputs
In this paper, we consider a two-user multiple access fading channel under
quality-of-service (QoS) constraints. We initially formulate the transmission
rates for both transmitters, where the transmitters have arbitrarily
distributed input signals. We assume that the receiver performs successive
decoding with a certain order. Then, we establish the effective capacity region
that provides the maximum allowable sustainable arrival rate region at the
transmitters' buffers under QoS guarantees. Assuming limited transmission power
budgets at the transmitters, we attain the power allocation policies that
maximize the effective capacity region. As for the decoding order at the
receiver, we characterize the optimal decoding order regions in the plane of
channel fading parameters for given power allocation policies. In order to
accomplish the aforementioned objectives, we make use of the relationship
between the minimum mean square error and the first derivative of the mutual
information with respect to the power allocation policies. Through numerical
results, we display the impact of input signal distributions on the effective
capacity region performance of this two-user multiple access fading channel
Linear MIMO Precoding in Jointly-Correlated Fading Multiple Access Channels with Finite Alphabet Signaling
In this paper, we investigate the design of linear precoders for
multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume
that statistical channel state information (CSI) is available at the
transmitters and consider the problem under the practical finite alphabet input
assumption. First, we derive an asymptotic (in the large-system limit) weighted
sum rate (WSR) expression for the MIMO MAC with finite alphabet inputs and
general jointly-correlated fading. Subsequently, we obtain necessary conditions
for linear precoders maximizing the asymptotic WSR and propose an iterative
algorithm for determining the precoders of all users. In the proposed
algorithm, the search space of each user for designing the precoding matrices
is its own modulation set. This significantly reduces the dimension of the
search space for finding the precoding matrices of all users compared to the
conventional precoding design for the MIMO MAC with finite alphabet inputs,
where the search space is the combination of the modulation sets of all users.
As a result, the proposed algorithm decreases the computational complexity for
MIMO MAC precoding design with finite alphabet inputs by several orders of
magnitude. Simulation results for finite alphabet signalling indicate that the
proposed iterative algorithm achieves significant performance gains over
existing precoder designs, including the precoder design based on the Gaussian
input assumption, in terms of both the sum rate and the coded bit error rate.Comment: 7 pages, 2 figures, accepted for ICC1
A Novel Power Allocation Scheme for Two-User GMAC with Finite Input Constellations
Constellation Constrained (CC) capacity regions of two-user Gaussian Multiple
Access Channels (GMAC) have been recently reported, wherein an appropriate
angle of rotation between the constellations of the two users is shown to
enlarge the CC capacity region. We refer to such a scheme as the Constellation
Rotation (CR) scheme. In this paper, we propose a novel scheme called the
Constellation Power Allocation (CPA) scheme, wherein the instantaneous transmit
power of the two users are varied by maintaining their average power
constraints. We show that the CPA scheme offers CC sum capacities equal (at low
SNR values) or close (at high SNR values) to those offered by the CR scheme
with reduced decoding complexity for QAM constellations. We study the
robustness of the CPA scheme for random phase offsets in the channel and
unequal average power constraints for the two users. With random phase offsets
in the channel, we show that the CC sum capacity offered by the CPA scheme is
more than the CR scheme at high SNR values. With unequal average power
constraints, we show that the CPA scheme provides maximum gain when the power
levels are close, and the advantage diminishes with the increase in the power
difference.Comment: To appear in IEEE Transactions on Wireless Communications, 10 pages
and 7 figure