165 research outputs found
Two-Layered Superposition of Broadcast/Multicast and Unicast Signals in Multiuser OFDMA Systems
We study optimal delivery strategies of one common and independent
messages from a source to multiple users in wireless environments. In
particular, two-layered superposition of broadcast/multicast and unicast
signals is considered in a downlink multiuser OFDMA system. In the literature
and industry, the two-layer superposition is often considered as a pragmatic
approach to make a compromise between the simple but suboptimal orthogonal
multiplexing (OM) and the optimal but complex fully-layered non-orthogonal
multiplexing. In this work, we show that only two-layers are necessary to
achieve the maximum sum-rate when the common message has higher priority than
the individual unicast messages, and OM cannot be sum-rate optimal in
general. We develop an algorithm that finds the optimal power allocation over
the two-layers and across the OFDMA radio resources in static channels and a
class of fading channels. Two main use-cases are considered: i) Multicast and
unicast multiplexing when users with uplink capabilities request both
common and independent messages, and ii) broadcast and unicast multiplexing
when the common message targets receive-only devices and users with uplink
capabilities additionally request independent messages. Finally, we develop a
transceiver design for broadcast/multicast and unicast superposition
transmission based on LTE-A-Pro physical layer and show with numerical
evaluations in mobile environments with multipath propagation that the capacity
improvements can be translated into significant practical performance gains
compared to the orthogonal schemes in the 3GPP specifications. We also analyze
the impact of real channel estimation and show that significant gains in terms
of spectral efficiency or coverage area are still available even with
estimation errors and imperfect interference cancellation for the two-layered
superposition system
Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission
In a superimposed unicast and multicast transmission system, one layer of
Successive Interference Cancellation (SIC) is required at each receiver to
remove the multicast stream before decoding the unicast stream. In this paper,
we show that a linearly-precoded Rate-Splitting (RS) strategy at the
transmitter can efficiently exploit this existing SIC receiver architecture. By
splitting the unicast message into common and private parts and encoding the
common parts along with the multicast message into a super-common stream
decoded by all users, the SIC is used for the dual purpose of separating the
unicast and multicast streams as well as better managing the multi-user
interference between the unicast streams. The precoders are designed with the
objective of maximizing the Weighted Sum Rate (WSR) of the unicast messages
subject to a Quality of Service (QoS) requirement of the multicast message and
a sum power constraint. Numerical results show that RS outperforms existing
Multi-User Linear-Precoding (MU-LP) and power-domain Non-Orthogonal Multiple
Access (NOMA) in a wide range of user deployments (with a diversity of channel
directions and channel strengths). Moreover, since one layer of SIC is required
to separate the unicast and multicast streams, the performance gain of RS comes
without any increase in the receiver complexity compared with MU-LP. Hence, in
such non-orthogonal unicast and multicast transmissions, RS provides rate and
QoS enhancements at no extra cost for the receivers.Comment: arXiv admin note: text overlap with arXiv:1710.1101
Efficient Management of Multicast Traffic in Directional mmWave Networks
Multicasting is becoming more and more important in the Internet of Things (IoT) and wearable applications (e.g., high definition video streaming, virtual reality gaming, public safety, among others) that require high bandwidth efficiency and low energy consumption. In this regard, millimeter wave (mmWave) communications can play a crucial role to efficiently disseminate large volumes of data as well as to enhance the throughput gain in fifth-generation (5G) and beyond networks. There are, however, challenges to face in view of providing multicast services with high data rates under the conditions of short propagation range caused by high path loss at mmWave frequencies. Indeed, the strong directionality required at extremely high frequency bands excludes the possibility of serving all multicast users via a single transmission. Therefore, multicasting in directional systems consists of a sequence of beamformed transmissions to serve all multicast group members, subgroup by subgroup. This paper focuses on multicast data transmission optimization in terms of throughput and, hence, of the energy efficiency of resource-constrained devices such as wearables, running their resource-hungry applications. In particular, we provide a means to perform the beam switching and propose a radio resource management (RRM) policy that can determine the number and width of the beams required to deliver the multicast content to all interested users. Achieved simulation results show that the proposed RRM policy significantly improves network throughput with respect to benchmark approaches. It also achieves a high gain in energy efficiency over unicast and multicast with fixed predefined beams.acceptedVersionPeer reviewe
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