26 research outputs found
Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks
In this paper, we propose a resource allocation algorithm for the downlink of
sectorized two-dimensional (2-D) OFDMA cellular networks assuming statistical
Channel State Information (CSI) and fractional frequency reuse. The proposed
algorithm can be implemented in a distributed fashion without the need to any
central controlling units. Its performance is analyzed assuming fast fading
Rayleigh channels and Gaussian distributed multicell interference. We show that
the transmit power of this simple algorithm tends, as the number of users grows
to infinity, to the same limit as the minimal power required to satisfy all
users' rate requirements i.e., the proposed resource allocation algorithm is
asymptotically optimal. As a byproduct of this asymptotic analysis, we
characterize a relevant value of the reuse factor that only depends on an
average state of the network.Comment: submitted to IEEE Transactions on Wireless Communication
A Multi-Service Oriented Multiple-Access Scheme for Next-Generation Mobile Networks
One of the key requirements for fifth-generation (5G) cellular networks is
their ability to handle densely connected devices with different quality of
service (QoS) requirements. In this article, we present multi-service oriented
multiple access (MOMA), an integrated access scheme for massive connections
with diverse QoS profiles and/or traffic patterns originating from both
handheld devices and machine-to-machine (M2M) transmissions. MOMA is based on
a) stablishing separate classes of users based on relevant criteria that go
beyond the simple handheld/M2M split, b) class dependent hierarchical spreading
of the data signal and c) a mix of multiuser and single-user detection schemes
at the receiver. Practical implementations of the MOMA principle are provided
for base stations (BSs) that are equipped with a large number of antenna
elements. Finally, it is shown that such a
massive-multiple-input-multiple-output (MIMO) scenario enables the achievement
of all the benefits of MOMA even with a simple receiver structure that allows
to concentrate the receiver complexity where effectively needed.Comment: 6 pages, 3 figures, accepted to the European Conference on Networks
and Communications (EuCNC 2016
Affine Frequency Division Multiplexing For Communications on Sparse Time-Varying Channels
This paper addresses channel estimation for linear time-varying (LTV)
wireless propagation links under the assumption of double sparsity i.e.,
sparsity in both the delay and the Doppler domains. Affine frequency division
multiplexing (AFDM), a recently proposed waveform, is shown to be optimal (in a
sense that we make explicit) for this problem. With both mathematical analysis
and numerical results, the minimal pilot and guard overhead needed for
achieving a target mean squared error (MSE) while performing channel estimation
is shown to be the smallest when AFDM is employed instead of both conventional
and recently proposed waveforms.Comment: 6 pages, 9 figures, submitted to Globecom 202