What user-cell association algorithms will perform best in mmWave massive MIMO ultra-dense HetNets?

Cetinkaya, Sinasi; Hashmi, Umair Sajid; Imran, Ali

doi:10.1109/pimrc.2017.8292248

Cited by 17 publications

(24 citation statements)

References 22 publications

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“…The user association problem has been studied with different objectives, such as maximizing energy and spectrum efficiency [12], [20], maximizing energy efficiency and backhaul routing [13], [14], spectrum sharing [21], throughput maximization [22], and maximizing the capacity of the network [23]. We now briefly review the existing research literature on user association in 5G HetNets, which considers both the access network operating in sub-6GHz bands and backhaul links operating in mmWave bands.…”

Section: Related Workmentioning

confidence: 99%

Stability Analysis of Simple and Online User Association Policies for Millimeter Wave Networks

2021

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In a millimeter wave (mmWave) network, user association-the process of deciding as to which base station (BS) a given user should associate with-is a crucial process, which affects the throughput and delay performance seen by users in the network and the amount of load at each BS. In the existing research literature, the stability region of a user association policy, i.e., the set of user arrival rates for which the user association policy stabilizes the network, has not been analytically characterized for any user association policy for mmWave networks. In this paper, we study the user association problem in mmWave networks and compare the performances of four user association policies: Signal to Noise Ratio (SNR) based, Throughput based, Load based and Mixed. All these policies are simple, easy to implement, distributed, and online. We use a Continuous Time Markov Chain (CTMC) model and Lyapunov function techniques to analytically characterize the stability region of each of the above four user association policies; our analysis provides several insights into the performances of the policies. We also evaluate the performances of the above four user association policies in a large mmWave network, in which link qualities fluctuate with time and users are mobile, via detailed simulations. Our results show that the Throughput based policy outperforms the other three user association policies in terms of stability region as well as average throughput, average delay, fairness and energy efficiency performance.INDEX TERMS mmWave networks, user association, continuous time Markov chain, stability.

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Section: Related Workmentioning

confidence: 99%

Stability Analysis of Simple and Online User Association Policies for Millimeter Wave Networks

2021

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“…Computing the network sum-rate involves computing the interference plus noise term V k,j in (22) which is of order O(M 2 j ), and this leads to the cost of computing user instantaneous rate R k,j in (21) also as O(M 2 j ). Thus, the cost of computing the network sum-rate in (25) is of the order O(M 2 j ). Next, the cost of sorting and finding arg max over the set of K − 1 new activation vectors β (i) n and the previous activation vector β (i) is O(K log(K)).…”

Section: B Complexity Analysismentioning

confidence: 99%

“…Fig. 2 compares the network spectral efficiency (given in (25)) for the user association schemes with two different CSI assumptions: (i) both large-scale and instantaneous CSI, and (ii) only large-scale CSI. As we can see from the figure, our proposed scheme shows a better performance in both cases since we adapt the network interference to the association.…”

Section: N Rmentioning

confidence: 99%

“…6 shows the probability density function (PDF) and cumulative distribution function (CDF) of users' data rates in a mmWave network with 3 BSs and 15 UEs. We consider the sum-rate utility function in (25) for the "Maxthroughput" case, and use the min-rate utility function in (26) to implement âĂĲMax-min FairnessâĂİ. By focusing on the low rate region (bottom left corner) of each figures, it can be inferred that compared to maxthroughput, max-min fairness shows a lower probability of users having an extremely low (close to zero) rate.…”

Section: ) Effect Of Fairness On Cell-edge Users' Throughputsmentioning

confidence: 99%

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Load Balancing User Association in Millimeter Wave MIMO Networks

Alizadeh

2019

IEEE Trans. Wireless Commun.

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User association is necessary in dense millimeter wave (mmWave) networks to determine which base station a user connects to in order to balance base station loads and maximize throughput. Given that mmWave connections are highly directional and vulnerable to small channel variations, user association changes these connections and hence significantly affects the user's instantaneous rate as well as network interference. In this paper, we introduce a new load balancing user association scheme for mmWave MIMO networks which considers this dependency on user association of user's transmission rates and network interference. We formulate the user association problem as mixed integer nonlinear programming and design a polynomial-time algorithm, called Worst Connection Swapping (WCS), to find a near-optimal solution. Simulation results confirm that the proposed user association scheme improves network performance significantly by moving the traffic of congested base stations to lightly-loaded ones and adjusting the interference accordingly. Further, the proposed WCS algorithm outperforms other generic algorithms for combinatorial programming such as the genetic algorithm in both accuracy and speed at several orders of magnitude faster, and for small networks where exhaustive search is possible it reaches the optimal solution.Index Terms-User association; mmWave MIMO systems; load balancing; MINLP; polynomial-time algorithm.

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“…They formulated the association as a Nash Bargaining problem for both uplink-downlink energy efficiency. The user association problem for future deployment of cellular networks in mmWave scenarios is also discussed in recent literature [12], [13], [14].…”

Section: Related Workmentioning

confidence: 99%

User Transmit Power Minimization through Uplink Resource Allocation and User Association in HetNets

Farooq

Hashmi

Qadir

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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The popularity of cellular internet of things (IoT) is increasing day by day and billions of IoT devices will be connected to the internet. Many of these devices have limited battery life with constraints on transmit power. High user power consumption in cellular networks restricts the deployment of many IoT devices in 5G. To enable the inclusion of these devices, 5G should be supplemented with strategies and schemes to reduce user power consumption. Therefore, we present a novel joint uplink user association and resource allocation scheme for minimizing user transmit power while meeting the quality of service. We analyze our scheme for two-tier heterogeneous network (HetNet) and show an average transmit power of -2.8 dBm and 8.2 dBm for our algorithms compared to 20 dBm in state-of-the-art Max reference signal received power (RSRP) and channel individual offset (CIO) based association schemes.

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What user-cell association algorithms will perform best in mmWave massive MIMO ultra-dense HetNets?

Cited by 17 publications

References 22 publications

Stability Analysis of Simple and Online User Association Policies for Millimeter Wave Networks

Stability Analysis of Simple and Online User Association Policies for Millimeter Wave Networks

Load Balancing User Association in Millimeter Wave MIMO Networks

User Transmit Power Minimization through Uplink Resource Allocation and User Association in HetNets

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