1,824 research outputs found
Achievable Throughput of Multi-mode Multiuser MIMO with Imperfect CSI Constraints
For the multiple-input multiple-output (MIMO) broadcast channel with
imperfect channel state information (CSI), neither the capacity nor the optimal
transmission technique have been fully discovered. In this paper, we derive
achievable ergodic rates for a MIMO fading broadcast channel when CSI is
delayed and quantized. It is shown that we should not support too many users
with spatial division multiplexing due to the residual inter-user interference
caused by imperfect CSI. Based on the derived achievable rates, we propose a
multi-mode transmission strategy to maximize the throughput, which adaptively
adjusts the number of active users based on the channel statistics information.Comment: 5 pages, 3 figures, submitted to 2009 IEEE International Symposium on
Information Theor
Multi-mode Transmission for the MIMO Broadcast Channel with Imperfect Channel State Information
This paper proposes an adaptive multi-mode transmission strategy to improve
the spectral efficiency achieved in the multiple-input multiple-output (MIMO)
broadcast channel with delayed and quantized channel state information. The
adaptive strategy adjusts the number of active users, denoted as the
transmission mode, to balance transmit array gain, spatial division
multiplexing gain, and residual inter-user interference. Accurate closed-form
approximations are derived for the achievable rates for different modes, which
help identify the active mode that maximizes the average sum throughput for
given feedback delay and channel quantization error. The proposed transmission
strategy is combined with round-robin scheduling, and is shown to provide
throughput gain over single-user MIMO at moderate signal-to-noise ratio. It
only requires feedback of instantaneous channel state information from a small
number of users. With a feedback load constraint, the proposed algorithm
provides performance close to that achieved by opportunistic scheduling with
instantaneous feedback from a large number of users.Comment: 25 pages, 10 figures, submitted to IEEE Trans. Commun., March 201
Rate Splitting for MIMO Wireless Networks: A Promising PHY-Layer Strategy for LTE Evolution
MIMO processing plays a central part towards the recent increase in spectral
and energy efficiencies of wireless networks. MIMO has grown beyond the
original point-to-point channel and nowadays refers to a diverse range of
centralized and distributed deployments. The fundamental bottleneck towards
enormous spectral and energy efficiency benefits in multiuser MIMO networks
lies in a huge demand for accurate channel state information at the transmitter
(CSIT). This has become increasingly difficult to satisfy due to the increasing
number of antennas and access points in next generation wireless networks
relying on dense heterogeneous networks and transmitters equipped with a large
number of antennas. CSIT inaccuracy results in a multi-user interference
problem that is the primary bottleneck of MIMO wireless networks. Looking
backward, the problem has been to strive to apply techniques designed for
perfect CSIT to scenarios with imperfect CSIT. In this paper, we depart from
this conventional approach and introduce the readers to a promising strategy
based on rate-splitting. Rate-splitting relies on the transmission of common
and private messages and is shown to provide significant benefits in terms of
spectral and energy efficiencies, reliability and CSI feedback overhead
reduction over conventional strategies used in LTE-A and exclusively relying on
private message transmissions. Open problems, impact on standard specifications
and operational challenges are also discussed.Comment: accepted to IEEE Communication Magazine, special issue on LTE
Evolutio
Downlink SDMA with Limited Feedback in Interference-Limited Wireless Networks
The tremendous capacity gains promised by space division multiple access
(SDMA) depend critically on the accuracy of the transmit channel state
information. In the broadcast channel, even without any network interference,
it is known that such gains collapse due to interstream interference if the
feedback is delayed or low rate. In this paper, we investigate SDMA in the
presence of interference from many other simultaneously active transmitters
distributed randomly over the network. In particular we consider zero-forcing
beamforming in a decentralized (ad hoc) network where each receiver provides
feedback to its respective transmitter. We derive closed-form expressions for
the outage probability, network throughput, transmission capacity, and average
achievable rate and go on to quantify the degradation in network performance
due to residual self-interference as a function of key system parameters. One
particular finding is that as in the classical broadcast channel, the per-user
feedback rate must increase linearly with the number of transmit antennas and
SINR (in dB) for the full multiplexing gains to be preserved with limited
feedback. We derive the throughput-maximizing number of streams, establishing
that single-stream transmission is optimal in most practically relevant
settings. In short, SDMA does not appear to be a prudent design choice for
interference-limited wireless networks.Comment: Submitted to IEEE Transactions on Wireless Communication
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