342 research outputs found
Quantum Synchronizable Codes From Quadratic Residue Codes and Their Supercodes
Quantum synchronizable codes are quantum error-correcting codes designed to
correct the effects of both quantum noise and block synchronization errors.
While it is known that quantum synchronizable codes can be constructed from
cyclic codes that satisfy special properties, only a few classes of cyclic
codes have been proved to give promising quantum synchronizable codes. In this
paper, using quadratic residue codes and their supercodes, we give a simple
construction for quantum synchronizable codes whose synchronization
capabilities attain the upper bound. The method is applicable to cyclic codes
of prime length
Secure Transmission for Relay Wiretap Channels in the Presence of Spatially Random Eavesdroppers
We propose a secure transmission scheme for a relay wiretap channel, where a
source communicates with a destination via a decode-and-forward relay in the
presence of spatially random-distributed eavesdroppers. We assume that the
source is equipped with multiple antennas, whereas the relay, the destination,
and the eavesdroppers are equipped with a single antenna each. In the proposed
scheme, in addition to information signals, the source transmits artificial
noise signals in order to confuse the eavesdroppers. With the target of
maximizing the secrecy throughput of the relay wiretap channel, we derive a
closed-form expression for the transmission outage probability and an
easy-to-compute expression for the secrecy outage probability. Using these
expressions, we determine the optimal power allocation factor and wiretap code
rates that guarantee the maximum secrecy throughput, while satisfying a secrecy
outage probability constraint. Furthermore, we examine the impact of source
antenna number on the secrecy throughput, showing that adding extra transmit
antennas at the source brings about a significant increase in the secrecy
throughput.Comment: 7 pages, 5 figures, accepted by IEEE Globecom 2015 Workshop on
Trusted Communications with Physical Layer Securit
Multiuser Precoding and Channel Estimation for Hybrid Millimeter Wave MIMO Systems
In this paper, we develop a low-complexity channel estimation for hybrid
millimeter wave (mmWave) systems, where the number of radio frequency (RF)
chains is much less than the number of antennas equipped at each transceiver.
The proposed channel estimation algorithm aims to estimate the strongest
angle-of-arrivals (AoAs) at both the base station (BS) and the users. Then all
the users transmit orthogonal pilot symbols to the BS via these estimated
strongest AoAs to facilitate the channel estimation. The algorithm does not
require any explicit channel state information (CSI) feedback from the users
and the associated signalling overhead of the algorithm is only proportional to
the number of users, which is significantly less compared to various existing
schemes. Besides, the proposed algorithm is applicable to both non-sparse and
sparse mmWave channel environments. Based on the estimated CSI, zero-forcing
(ZF) precoding is adopted for multiuser downlink transmission. In addition, we
derive a tight achievable rate upper bound of the system. Our analytical and
simulation results show that the proposed scheme offer a considerable
achievable rate gain compared to fully digital systems, where the number of RF
chains equipped at each transceiver is equal to the number of antennas.
Furthermore, the achievable rate performance gap between the considered hybrid
mmWave systems and the fully digital system is characterized, which provides
useful system design insights.Comment: 6 pages, accepted for presentation, ICC 201
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