On Small Cell Network Deployment: A Comparative Study of Random and Grid Topologies

Chen, Chung Shue; Nguyễn, Văn Minh; Thomas, Laurent

doi:10.1109/vtcfall.2012.6398953

Cited by 41 publications

(25 citation statements)

References 8 publications

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“…A common simplification in modeling cellular networks which enables us handle the problem analytically is to assume that the locations of BSs are randomly scattered on a two dimensional plane surface according to a homogeneous Poisson point process (PPP) [3]. Several works studied the validity of PPP modeling of BSs (in comparison with regular cellular models,) and it is often shown to provide useful insights into the statistical behavior of key performance metrics [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Optimal area power efficiency in cellular networks

Perabathini¹,

Kountouris

Debbah

et al. 2014

2014 IEEE Globecom Workshops (GC Wkshps)

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In this paper, we study the problem of minimizing the area power consumption in wireless cellular networks. We focus on the downlink of a single-tier network, in which the locations of base stations (BSs) are distributed according to a homogeneous Poisson point process (PPP). Assuming that a mobile user is connected to its strongest candidate BS, we derive bounds on the optimal transmit power in order to guarantee a certain minimum coverage and data rate. Under the same quality of service constraints, we find the optimal network density that minimizes the area power density. Our results show that the existence of an optimal BS density for minimizing the power consumption depends on the value of the pathloss exponent.

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Section: Introductionmentioning

confidence: 99%

Optimal area power efficiency in cellular networks

Perabathini¹,

Kountouris

Debbah

et al. 2014

2014 IEEE Globecom Workshops (GC Wkshps)

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“…Remark 2. Note that for the proposed strategy (16), the expected power E{P n(u) (t)} < ∞ and expected probability of transmission E{p n(u) (t)} > 0 for any BS n(u) from Proposition 5.…”

Section: Achievabilitymentioning

confidence: 99%

Capacity of cellular wireless network

Vaze

Iyer

2017

2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

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Earlier definitions of capacity for wireless networks, e.g., transport or transmission capacity, for which exact theoretical results are known, are well suited for ad hoc networks but are not directly applicable for cellular wireless networks, where large-scale basestation (BS) coordination is not possible, and retransmissions/ARQ under the SINR model is a universal feature.In this paper, cellular wireless networks, where both BS locations and mobile user (MU) locations are distributed as independent Poisson point processes are considered, and each MU connects to its nearest BS. With ARQ, under the SINR model, the effective downlink rate of packet transmission is the reciprocal of the expected delay (number of retransmissions needed till success), which we use as our network capacity definition after scaling it with the BS density.Exact characterization of this natural capacity metric for cellular wireless networks is derived. The capacity is shown to first increase polynomially with the BS density in the low BS density regime and then scale inverse exponentially with the increasing BS density. Two distinct upper bounds are derived that are relevant for the low and the high BS density regimes. A single power control strategy is shown to achieve the upper bounds in both the regimes. This result is fundamentally different from the well known capacity results for ad hoc networks, such as transport and transmission capacity that scale as the square root of the (high) BS density. Our results show that the strong temporal correlations of SINRs with PPP distributed BS locations is limiting, and the realizable capacity in cellular wireless networks in high-BS density regime is much smaller than previously thought. A byproduct of our analysis shows that the capacity of the ALOHA strategy with retransmissions is zero.

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“…In [11], dense small-cell network topologies were examined with the help of an advanced spatial modeling tool (stochastic geometry), and the effect of random cells placement versus a regular grid approach was studied analytically. Network performance was statistically characterized, which differs from our approach, which targets specific coordination strategies and algorithmic solutions.…”

Section: A Related Workmentioning

confidence: 99%

“…With the newly introduced variables, the minimum SINR per UE expressions are linearized as in (11), and the optimal pairing sub-problem resorts to solving the single ILP problem (12). …”

Section: B Alternatives For Selecting the Pairing Matrixmentioning

confidence: 99%

Global network coordination in densified wireless access networks through integer linear programming

Gotsis

Alexiou

2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Network densification with universal resources reuse is regarded as a possible solution to increase capacity and deal with the "1000x" mobile data challenge in future 3GPP radio access networks. Interference is the major performance limitation is such networks, and global coordination of coexisting transmissions comprises the technology enabler for achieving high performance levels. In this work we consider large distributed networks of low-cost infrastructure nodes, such as smallcells or simply access points. We explore optimal and efficient strategies for selecting the serving access point for each user (access point/user pairing) and tuning the transmission power per communication link, in order to achieve uniform qualityof-service levels across the whole network. For this purpose, we reformulate the original intractable joint pairing and power optimization problem, leveraging the powerful integer linear programming optimization framework. We also propose lowercomplexity coordination algorithms by decoupling the pairing and power allocation sub-problems. We evaluate the proposed algorithms performance in large dense access networks and we demonstrate how to guarantee specific rates over increased user population by infrastructure densification and network resources coordination.

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On Small Cell Network Deployment: A Comparative Study of Random and Grid Topologies

Cited by 41 publications

References 8 publications

Optimal area power efficiency in cellular networks

Optimal area power efficiency in cellular networks

Capacity of cellular wireless network

Global network coordination in densified wireless access networks through integer linear programming

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