Massive Multiuser MIMO in Heterogeneous Cellular Networks With Full Duplex Small Cells

Akbar, Sunila; Deng, Yansha; Nallanathan, Arumugam; Elkashlan, Maged; Karagiannidis, George K.

doi:10.1109/tcomm.2017.2728536

Cited by 37 publications

(40 citation statements)

References 49 publications

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“…It is found that the parameters p m and R impose different impact on FU, D2D, CEU, and CCU transmissions. 40,41 In practice, similar to the network average throughput or ergodic rate, the average coverage probability is another metric. While the cell split FIGURE 7 Coverage probability of D2D link (Simulation, Simu.).…”

Section: Simulations and Numerical Resultsmentioning

confidence: 99%

“…For the FU and D2D links, the coverage probabilities are changing monotonously with p m and R. Specially, the coverage probabilities are decreasing with the increase of p m . Akbar et al 40 Figure 11A and the one of macro cell is given in Figure 11B. A, Effect of λ MU and R. B, Effect of λ MB , p m , and ρ d factor R has large impact on D2D networks, it imposes small impact on FU links.…”

Section: Simulations and Numerical Resultsmentioning

confidence: 99%

“…It is an instinctive idea to find the optimal p m and R so that the whole network or macro cell achieves the optimal average coverage probability as discussed in previous studies. 40,41 In practice, similar to the network average throughput or ergodic rate, the average coverage probability is another metric. Akbar et al 40 Figure 11A and the one of macro cell is given in Figure 11B.…”

Section: Simulations and Numerical Resultsmentioning

confidence: 99%

“…Finally, using the definition of coverage probability and combining 39,40,41,42,43,44,45,46, and 48, we have Theorem 5 that presents the SIR coverage probability of CEU uplink.…”

Section: Sir Coverage Of Ceu Uplinkmentioning

confidence: 98%

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Energy‐spectrum‐efficient three‐tier heterogeneous networks with D2D harvesting energy and uplink coverage analysis

Jia

Fan

et al. 2018

Int J Communication

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To guard the communication quality of cell edge users (CEUs) and simultaneously improve the energy-spectrum efficiency, a novel 3-tier heterogeneous network (HetNet) model is proposed, which consists of macro cells, femtocells, and device-to-device (D2D) networks. Specially, with a predefined cell split factor R, the macro cell users are split into as cell center users (CCUs) and CEUs, respectively. Correspondingly, the total available spectrum band consisting of N channels is divided into CCU band and CEU band with a given coefficient p m . The CCU band containing p m N subchannels is shared by CCUs and femtocell users (FUs), and the CEU band containing(1 − p m ) N subchannels is shared by D2D users and CEUs. The perfect network synchronization is assumed, and a communication round consists of downlink transmission and uplink transmission phases. The battery-free D2D terminals harvest energy from the ambient radio frequency interference in the downlink transmission phase based on inverse power control scheme and communicate in the uplink transmission phase only when they harvest enough energy to perform channel inversion toward the receiver. For such 3-tier HetNets, by modeling the network elements as independent Poisson point processes (PPPs) and using stochastic geometry method, we first investigate the sufficiency probability that a D2D transmitter harvests enough energy to establish a communication link. Then, by combining sufficiency probability and channel access probability, the thinned independent PPPs for the locations of CCUs, CEUs, FUs, and D2D users are modeled. Based on these thinned PPP models, we perform a comprehensive investigation on the coverage probabilities of CCU, CEU, and FU uplinks as well as the D2D transmission. The simulated and numerical results show that using the presented cell split strategy enhances the performance of CCUs and CEUs because of the decrease of interference. The presented comparison analysis displays that the effect of D2D networks on the macro cell or the whole HetNets is limited and can be omitted. Therefore, the energy and spectrum efficiencies of networks are enhanced, simultaneously. At the same time, our results indicate that by using our derivations, we can perform the optimal design of the HetNets. KEYWORDScell center user, cell edge user, cell split, energy harvesting, heterogeneous networks 1 | INTRODUCTION Nowadays, with the proliferation of smart phones, tablets, and data-hungry multimedia applications, there has been exponential growth in mobile data and traffic. In recent report, 1 Cisco predicts that mobile data traffic will hit an annual run rate of 367.2 exabytes by 2020. More specifically, a compound annual growth rate to the data traffic from 2015 to 2020 is 53%. The fast and continuous growing mobile data traffic causes the deficiency of cellular network capacity. To mitigate this problem and meet the exponential growth of mobile traffic, the network operators have already started to devise new solutions. An advanced approach is strongly required ...

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Section: Simulations and Numerical Resultsmentioning

confidence: 99%

Section: Simulations and Numerical Resultsmentioning

confidence: 99%

Section: Simulations and Numerical Resultsmentioning

confidence: 99%

“…Finally, using the definition of coverage probability and combining 39,40,41,42,43,44,45,46, and 48, we have Theorem 5 that presents the SIR coverage probability of CEU uplink.…”

Section: Sir Coverage Of Ceu Uplinkmentioning

confidence: 98%

See 2 more Smart Citations

Energy‐spectrum‐efficient three‐tier heterogeneous networks with D2D harvesting energy and uplink coverage analysis

Jia

Fan

et al. 2018

Int J Communication

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“…In the work of Zhou et al, the user association in massive MIMO–enabled HetNets has been investigated in detail. In the work of Akbar et al, to improve the spectrum efficiency of small cells and restrict the interference from MBSs, an improved scheme was proposed by exploiting full duplex (FD) in SBSs. In the work of Hao et al, the small‐cell cluster‐based resource management has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Effective self‐backhaul scheme for massive MIMO–enabled full‐duplex heterogeneous networks by exploiting NOMA

Jia

Yang

et al. 2019

Trans Emerging Tel Tech

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By integrating full‐duplex (FD) and nonorthogonal multiple‐access (NOMA) techniques for wireless self‐backhaul at small‐cell base stations (SBSs), a novel multitier heterogeneous network (HetNet) is proposed. In the HetNet, NOMA is used at SBSs for combing backhaul and downlink (DL) signals. As a result, at each SBS, the backhaul, uplink transmission, and DL transmission are executed simultaneously, whereas the FD macro base stations (MBSs) communicate with mobile users (MUs) and transceive backhaul signals from associated SBSs by using massive‐MIMO antennas. The simple time‐division duplex is performed for the communications between MBSs and MUs so that a round of communications consists of MBS‐MU‐DL and MBS‐MU‐UL phases. This work particularly focuses on the MBS‐MU‐DL phase. By assuming the HetNet to be fully loaded, this paper first models the distribution of active SBSs and those of the interference received at the different types of receivers. Then, by formulating the received signal‐to‐interference ratios, this paper obtains the coverage probabilities of the MU‐SBS‐MBS uplink backhaul and MU DLs as well as the spectrum and energy efficiencies. The presented simulations and numerical results show that the integration of FD and NOMA at SBSs is an effective solution for creating the backhaul between FD‐SBS and FD‐MBS. It is obtained that when the power‐sharing coefficient allocated for a small‐cell DL is small, the coverage probability of SBS DL transmission increases; otherwise, it decreases. However, the coverage probabilities of the MBS DL and MU‐SBS‐MBS backhaul link monotonically vary with the power‐sharing coefficient. It is also achieved that the power‐sharing coefficient imposes the effect on the energy efficiencies of the MU‐SBS‐MBS backhaul link and MU DL in inverse directions. At the same time, it is found that the achieved energy efficiency gain depends greatly on the resolution of massive‐MIMO antennas.

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Performance analysis of two tier HetNets with massive MIMO enabled wireless backhauling

2019

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Massive Multiuser MIMO in Heterogeneous Cellular Networks With Full Duplex Small Cells

Cited by 37 publications

References 49 publications

Energy‐spectrum‐efficient three‐tier heterogeneous networks with D2D harvesting energy and uplink coverage analysis

Energy‐spectrum‐efficient three‐tier heterogeneous networks with D2D harvesting energy and uplink coverage analysis

Effective self‐backhaul scheme for massive MIMO–enabled full‐duplex heterogeneous networks by exploiting NOMA

Performance analysis of two tier HetNets with massive MIMO enabled wireless backhauling

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