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Asymptotic analysis of downlink MISO systems over Rician fading channels,” in
 Proc. IEEE ICASSP,
, 2016
"... ABSTRACT In this work, we focus on the ergodic sum rate in the downlink of a singlecell largescale multiuser MIMO system in which the base station employs N antennas to communicate with K singleantenna user equipments. A regularized zeroforcing (RZF) scheme is used for precoding under the assu ..."
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ABSTRACT In this work, we focus on the ergodic sum rate in the downlink of a singlecell largescale multiuser MIMO system in which the base station employs N antennas to communicate with K singleantenna user equipments. A regularized zeroforcing (RZF) scheme is used for precoding under the assumption that each link forms a spatially correlated MIMO Rician fading channel. The analysis is conducted assuming N and K grow large with a non trivial ratio and perfect channel state information is available at the base station. Recent results from random matrix theory and large system analysis are used to compute an asymptotic expression of the signaltointerferenceplusnoise ratio as a function of the system parameters, the spatial correlation matrix and the Rician factor. Numerical results are used to evaluate the performance gap in the finite system regime under different operating conditions.
1Large System Analysis of Base Station Cooperation for Power Minimization
"... IEEE Abstract—This work focuses on a largescale multicell multiuser MIMO system in which L base stations (BSs) of N antennas each communicate with K singleantenna user equipments. We consider the design of the linear precoder that minimizes the total power consumption while ensuring target user ..."
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IEEE Abstract—This work focuses on a largescale multicell multiuser MIMO system in which L base stations (BSs) of N antennas each communicate with K singleantenna user equipments. We consider the design of the linear precoder that minimizes the total power consumption while ensuring target user rates. Three configurations with different degrees of cooperation among BSs are considered: the coordinated beamforming scheme (only channel state information is shared among BSs), the coordinated multipoint MIMO processing technology or network MIMO (channel state and data cooperation), and a single cell beamforming scheme (only local channel state information is used for beamforming while channel state cooperation is needed for power allocation). The analysis is conducted assuming that N and K grow large with a non trivial ratio K/N and imperfect channel state information (modeled by the generic GaussMarkov formulation form) is available at the BSs. Tools of random matrix theory are used to compute, in explicit form, deterministic approximations for: (i) the parameters of the optimal precoder; (ii) the powers needed to ensure target rates; and (iii) the total transmit power. These results are instrumental to get further insight into the structure of the optimal precoders and also to reduce the implementation complexity in largescale networks. Numerical results are used to validate the asymptotic analysis in the finite system regime and to make comparisons among the different configurations. I.
Deterministic Equivalent for MaxMin SINR over Random User Locations
"... AbstractThe maxmin signaltointerferenceplusnoise ratio (SINR) problem is considered in a coordinated network wherein L base stations (BSs) each equipped with N antennas serve in total K singleantenna users that are uniformly distributed in the network. We conduct the analysis in the asymptot ..."
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AbstractThe maxmin signaltointerferenceplusnoise ratio (SINR) problem is considered in a coordinated network wherein L base stations (BSs) each equipped with N antennas serve in total K singleantenna users that are uniformly distributed in the network. We conduct the analysis in the asymptotic regime in which N and K grow large to compute a deterministic approximation for the maxmin SINR. The results are independent from fastfading and users' locations and thus allow one to determine the optimal maxmin SINR given basic system parameters such as cell radius, K, N and pathloss exponent. The provided framework can be utilized for analyzing the problem without the need to run system level simulations and for finding the optimal N , K, resource allocation and BS placement. Numerical results are used to validate the analytical results in a finite system regime and to evaluate the effects of system parameters on the system performance.
Large System Analysis of Base Station Cooperation for Power Minimization
"... AbstractThis work focuses on a largescale multicell multiuser MIMO system in which L base stations (BSs) of N antennas each communicate with K singleantenna user equipments. We consider the design of the linear precoder that minimizes the total power consumption while ensuring target user rates ..."
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AbstractThis work focuses on a largescale multicell multiuser MIMO system in which L base stations (BSs) of N antennas each communicate with K singleantenna user equipments. We consider the design of the linear precoder that minimizes the total power consumption while ensuring target user rates. Three configurations with different degrees of cooperation among BSs are considered: the coordinated beamforming scheme (only channel state information is shared among BSs), the coordinated multipoint MIMO processing technology or network MIMO (channel state and data cooperation), and a single cell beamforming scheme (only local channel state information is used for beamforming while channel state cooperation is needed for power allocation). The analysis is conducted assuming that N and K grow large with a non trivial ratio K/N and imperfect channel state information (modeled by the generic GaussMarkov formulation form) is available at the BSs. Tools of random matrix theory are used to compute, in explicit form, deterministic approximations for: (i) the parameters of the optimal precoder; (ii) the powers needed to ensure target rates; and (iii) the total transmit power. These results are instrumental to get further insight into the structure of the optimal precoders and also to reduce the implementation complexity in largescale networks. Numerical results are used to validate the asymptotic analysis in the finite system regime and to make comparisons among the different configurations.
Interference Management in 5G Reverse TDD HetNets with Wireless Backhaul: A Large System Analysis
"... AbstractThis work analyzes a heterogeneous network (HetNet), which comprises a macro base station (BS) equipped with a large number of antennas and an overlaid dense tier of small cell access points (SCAs) using a wireless backhaul for data traffic. The static and low mobility user equipment termi ..."
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AbstractThis work analyzes a heterogeneous network (HetNet), which comprises a macro base station (BS) equipped with a large number of antennas and an overlaid dense tier of small cell access points (SCAs) using a wireless backhaul for data traffic. The static and low mobility user equipment terminals (UEs) are associated with the SCAs while those with mediumtohigh mobility are served by the macro BS. A reverse time division duplexing (TDD) protocol is used by the two tiers, which allows the BS to locally estimate both the intratier and intertier channels. This knowledge is then used at the BS either in the uplink (UL) or in the downlink (DL) to simultaneously serve the macro UEs (MUEs) and to provide the wireless backhaul to SCAs. A concatenated linear precoding technique employing either zeroforcing (ZF) or regularized ZF is used at the BS to simultaneously serve MUEs and SCAs in DL while nulling interference toward those SCAs in UL. We evaluate and characterize the performance of the system through the power consumption of UL and DL transmissions under the assumption that target rates must be satisfied and imperfect channel state information is available for MUEs. The analysis is conducted in the asymptotic regime where the number of BS antennas and the network size (MUEs and SCAs) grow large with fixed ratios. Results from large system analysis are used to provide concise formulae for the asymptotic UL and DL transmit powers and precoding vectors under the above assumptions. Numerical results are used to validate the analysis in different settings and to make comparisons with alternative network architectures.
ASYMPTOTIC ANALYSIS OF DOWNLINKMISO SYSTEMS OVER RICIAN FADING CHANNELS
"... In this work, we focus on the ergodic sum rate in the downlink of a singlecell largescale multiuser MIMO system in which the base station employs N antennas to communicate withK singleantenna user equipments. A regularized zeroforcing (RZF) scheme is used for precoding under the assumption that ..."
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In this work, we focus on the ergodic sum rate in the downlink of a singlecell largescale multiuser MIMO system in which the base station employs N antennas to communicate withK singleantenna user equipments. A regularized zeroforcing (RZF) scheme is used for precoding under the assumption that each link forms a homogeneous spatially correlated MIMO Rician fading channel. The analysis is conducted assuming N and K grow large with a non trivial ratio and perfect channel state information is available at the base station. Recent results from random matrix theory and large system analysis are used to compute an asymptotic expression of the signaltointerferenceplusnoise ratio as a function of the system parameters, the spatial correlation matrix and the Rician factor. Numerical results are used to evaluate the performance gap in the finite system regime under different operating conditions. 1.
On the Asymptotic Sum Rate of Downlink Cellular Systems with Random User Locations
"... Abstract—We consider a downlink of a cellular communication system with a multiantenna base station (BS). A regularized zero forcing (RZF) precoder is employed at the BS to manage the interuser interference. Using methods from random matrix theory, we derive an asymptotic approximation for the ach ..."
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Abstract—We consider a downlink of a cellular communication system with a multiantenna base station (BS). A regularized zero forcing (RZF) precoder is employed at the BS to manage the interuser interference. Using methods from random matrix theory, we derive an asymptotic approximation for the achievable ergodic sum rate, taking into account the randomness from both fading and random user locations. The obtained deterministic approximation describes well the behavior of finitesized systems and enables computationally efficient optimization of the RZF precoder matrix. I. PRELUDE Multipleinput multipleoutput (MIMO) transmission can significantly increase the performance of a communication system [1] and is therefore seen as a potential building block for future mobile communications. Nowadays, multiple