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Multiple Connectivity and Spectrum Access Utilisation in Heterogeneous Small Cell Networks

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Abstract

In the context of heterogeneous and small cell networks, users will have the possibility to connect to multiple radio access (RA) carriers that will be available by a dense deployment of RA infrastructure consisting of high-power and low-power access nodes. Determining which RAs a user should be associated with and select from, for its downlink transmissions, depends on the long-term and short-term data rates that these RAs may offer to the user. In this study the multi-RA association and utilisation is decomposed into a multi-RA to user association problem that assigns multiple RAs to users, and a multi-RA selection problem that determines which of the assigned RAs should be used at any time for the user transmissions. As a solution to the first problem, we propose a distributed dual-based spectrum access scheme (DSA) that considers multi-connectivity, whilst, the second problem is solved by means of a heuristic multi-RA selection scheme that utilise different multi-radio transmit diversity (MRTD) schemes while taking into account different inter-cell interference coordination (ICIC) schemes. Our two-step approach is evaluated by means of simulations which demonstrate cell-edge user throughput performance improvements that exceed 100 % when the multi-connectivity DSA is employed. Further significant user rate and energy efficiency improvements up to 69 and 38 % respectively can be achieved when MRTD is combined with ICIC.

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Notes

  1. In 3GPP LTE-A [22], each aggregated carrier, which is referred to as a component carrier (CC), can have a bandwidth of 1.4, 3, 5, 10, 15 or 20 MHz and a maximum of five component carriers can be aggregated, hence the maximum aggregated bandwidth is 100 MHz.

  2. The coefficient \(c_{i,j}^{(s)} =\log _2(1+\gamma _{i,j})\) is an estimate of the spectral efficiency offered by access node j determined by measuring the SINR \(\gamma _{i,j}\) of reference signals transmitted by access node j. The coefficients \(\lambda _j^{(s)}\), as we shall clarify later, are computed by the access nodes and broadcast to the mobile users.

  3. This direct assumption will be revisited and reassessed later when we discuss how MRTD and ICIC schemes are combined.

  4. A frequency reuse factor of one, also called 1-reuse, \(F=1\) implies a set of frequencies that is used by all access nodes in the same segment, \({\hat{W}}_j^{(s)}=W_j^{(s)}\); whilst in 3-reuse, \(F=3\), the bandwidth size of RA (js) is \(W_j^{(s)}/3\).

  5. In the case the RAs also correspond to two different RATs, then this reflects the coexistence of two communication standards in the network operating in different frequency bands, e.g., WCDMA, HSPA, LTE, etc.

  6. For the convenience of the reference the labels of the user distribution scenarios follows that of [3].

  7. The average number of TTIs varies between 350 and 500 depending on the user distributions and the pico density of the simulated scenario.

  8. It has to be noted here that in Configuration 4b the gains related to path loss are higher since users are clustered around pico nodes with higher probability, while the user rates of MRTD in Configuration 1 are lower.

  9. Figure shows spectral efficiency in bps/Hz/RA. When PMRTD is used, users have access to 2 RAs, thus, the aggregate spectral efficiency of PMRTD is higher than SMRTD.

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Acknowledgments

The first author would like to acknowledge the support of Christer Qvarfordt and Henrik Lundqvist, both at Huawei Technologies, R&D Center, Sweden.

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Correspondence to Georgios P. Koudouridis.

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Koudouridis, G.P., Soldati, P. & Karlsson, G. Multiple Connectivity and Spectrum Access Utilisation in Heterogeneous Small Cell Networks. Int J Wireless Inf Networks 23, 1–18 (2016). https://doi.org/10.1007/s10776-016-0302-7

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