Performance analysis of adaptive limited feedback coordinated zero‐forcing multicell systems in time‐varying channels: A practical approach

Balaji, S.; Mallick, P. S.

doi:10.1002/dac.3301

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…In this section, simulation results of the underlying approach in 2 scenarios, reuse of 1 cellular RRB and reuse of 2 cellular RRBs, are compared to the numerical analysis of the nonexact and the proposed formulas for outage probability of a D2D link. Simulation parameters for the system model presented in Figure 1 are as Table 2 [5,[18][19][20]. In Figure 2, the outage probability of D2D link versus the average distance between the D2D pair and cellular user, which reuses one RRB of cellular user (first scenario), ) are in accordance with the simulation results.…”

Section: The Noma-based Approximation For Exact and Nonexact Outagesupporting

confidence: 65%

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Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Ghavami

Moghaddam

2017

Int J Communication

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One of the key strategies for jointly increasing throughput and optimum resource allocation in 5G is device-to-device (D2D) communications, which can be obtained by minimizing the outage probability considered as an objective function of optimization problem. To minimize this objective function, we found that outage probability should be modeled by jointly considering the effect of interference, noise, and multipath phenomena. In this paper, the exact formulas for outage probability of in-band D2D communications underlying cellular network are proposed. In the proposed model, additive white Gaussian noise and Rayleigh multipath fading are considered into 2 radio resource reuse scenarios. In the first scenario, each D2D pair is allowed to reuse radio resource block of one cellular user, whereas in the second scenario, 2 resources of 2 cellular users can be reused. The proposed formulas are compared to the approximate (nonexact) ones, which models additive white Gaussian noise by a constant variance. The numerical analysis for the first and second scenarios show that the approximate formulas and respected exact ones are in accordance with simulation results in MATLAB. Moreover, based on nonorthogonal multiple access approach, 2 approximations for the nonexact and the proposed formulas are extracted, which are acceptable for multiple resource reuse scenario. As a remarkable result, simulation results show that when the distance of the D2D pair from the respected cellular user is more than 71 m (2 times greater than average distance between the D2D nodes), multiple-reuse scenarios offer higher throughput compared to 1-reuse scenario in an acceptable outage probability.KEYWORDS device to device communications, multiple access, nonorthogonal, outage probability, underlaying

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Section: The Noma-based Approximation For Exact and Nonexact Outagesupporting

confidence: 65%

“…Simulation parameters for the system model presented in Figure 1 are as Table 2 [5,[18][19][20]. Simulation parameters for the system model presented in Figure 1 are as Table 2 [5,[18][19][20].…”

Section: Comparative Studymentioning

confidence: 99%

Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Ghavami

Moghaddam

2017

Int J Communication

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“…From Theorem 1, we propose to design w m for α = N T − 1, m ∈ F , from the max-WSLNR problem of (18).The sum-rate with such a choice is given by (27).…”

Section: Beamforming Vector Design Formentioning

confidence: 99%

“…includes interference received from all the BSs (27) Again, the design of F shall be provided in Section III-E. and (N T − α), respectively. Then, for α ≤ N T − 2, all the beamforming vectors are obtained from the max-WSLNR problem of (18).…”

Section: Beamforming Vector Design Formentioning

confidence: 99%

Sum-Rate Maximization of Multicell MISO Networks With Limited Information Exchange

Kim

Yang

2020

IEEE Trans. Veh. Technol.

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Although there have been extensive studies on transmit beamforming in multi-input single-output (MISO) multicell networks, achieving optimal sum-rate with limited channel state information (CSI) is still a challenge even with a single user per cell. A novel cooperative downlink multicell MISO beamforming scheme is proposed with highly limited information exchange among the base stations (BSs) to maximize the sum-rate. In the proposed scheme, each BS can design its beamforming vector with only local CSI based on limited information exchange on CSI. Unlike previous studies, the proposed beamforming design is non-iterative and does not require any vector or matrix feedback but requires only quantized scalar information. The proposed scheme closely achieves the optimal sum-rate bound in almost all signal-to-noise ratio regime based on non-iterative optimization with lower amount of information exchange than existing schemes, which is justified by numerical simulations. Index TermsMulti-input single-output (MISO), downlink beamforming, small cells, scalar information exchange, multicell downlink

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On the Optimality of Multi-User Coordinated Zero-Forcing Beamforming Multicell Systems with Limited Feedback in Interference Channels

Balaji

Mallick

2017

Wireless Pers Commun

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Performance analysis of adaptive limited feedback coordinated zero‐forcing multicell systems in time‐varying channels: A practical approach

Cited by 4 publications

References 27 publications

Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Sum-Rate Maximization of Multicell MISO Networks With Limited Information Exchange

On the Optimality of Multi-User Coordinated Zero-Forcing Beamforming Multicell Systems with Limited Feedback in Interference Channels

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