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Coverage probability and achievable rate analysis of FFR-aided multi-user OFDM-based MIMO and SIMO systems

Coverage probability and achievable rate analysis of FFR-aided multi-user OFDM-based MIMO and SIMO systems
Coverage probability and achievable rate analysis of FFR-aided multi-user OFDM-based MIMO and SIMO systems
Expressions are derived for the coverage probability and average rate of both multi-user multiple input multiple output (MU-MIMO) and single input multiple output (SIMO) systems in the context of a fractional frequency reuse (FFR) scheme. In particular, given a reuse region of 1 3 (FR3) and a reuse region of 1 (FR1) as well as a Signal-to-Interference-plus-noise- Ratio (SINR) threshold Sth, which decides the user assignment to either the FR1 or FR3 regions, we theoretically show that: (i) The optimal choice of Sth which maximizes the coverage probability is Sth = T , where T is the target SINR required for ensuring adequate coverage, and (ii) The optimal choice of Sth which maximizes the average rate is given by Sth = T ?, where T ? is a function of the path loss exponent, the number of antennas and of the fading parameters. The impact of frequency domain correlation amongst the OFDM sub-bands allocated to the FR1 and FR3 cell-regions is analysed and it is shown that the presence of correlation reduces both the coverage probability and the average throughput of the FFR network. Furthermore, the performance of our FFR-aided MU-MIMO and SIMO systems is compared. Our analysis shows that the (2×2) MU-MIMO system achieves 22.5% higher rate than the (1 × 3) SIMO system and for lower target SINRs, the coverage probability of a (2×2) MUMIMO system is comparable to a (1 × 3) SIMO system. Hence the former one may be preferred over the latter. Our simulation results closely match the analytical results
1-28
Kumar, Suman
069896e6-0273-47b8-bfce-5361b8d2cdec
Kalyani, Sheetal
974cfe6e-d6e2-4449-9110-7f33ae5806f8
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Giridhar, K.
725a0df3-150a-4d77-a215-8ad74206b546
Kumar, Suman
069896e6-0273-47b8-bfce-5361b8d2cdec
Kalyani, Sheetal
974cfe6e-d6e2-4449-9110-7f33ae5806f8
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Giridhar, K.
725a0df3-150a-4d77-a215-8ad74206b546

Kumar, Suman, Kalyani, Sheetal, Hanzo, Lajos and Giridhar, K. (2015) Coverage probability and achievable rate analysis of FFR-aided multi-user OFDM-based MIMO and SIMO systems. IEEE Transactions on Communications, 1-28. (doi:10.1109/TCOMM.2015.2465907).

Record type: Article

Abstract

Expressions are derived for the coverage probability and average rate of both multi-user multiple input multiple output (MU-MIMO) and single input multiple output (SIMO) systems in the context of a fractional frequency reuse (FFR) scheme. In particular, given a reuse region of 1 3 (FR3) and a reuse region of 1 (FR1) as well as a Signal-to-Interference-plus-noise- Ratio (SINR) threshold Sth, which decides the user assignment to either the FR1 or FR3 regions, we theoretically show that: (i) The optimal choice of Sth which maximizes the coverage probability is Sth = T , where T is the target SINR required for ensuring adequate coverage, and (ii) The optimal choice of Sth which maximizes the average rate is given by Sth = T ?, where T ? is a function of the path loss exponent, the number of antennas and of the fading parameters. The impact of frequency domain correlation amongst the OFDM sub-bands allocated to the FR1 and FR3 cell-regions is analysed and it is shown that the presence of correlation reduces both the coverage probability and the average throughput of the FFR network. Furthermore, the performance of our FFR-aided MU-MIMO and SIMO systems is compared. Our analysis shows that the (2×2) MU-MIMO system achieves 22.5% higher rate than the (1 × 3) SIMO system and for lower target SINRs, the coverage probability of a (2×2) MUMIMO system is comparable to a (1 × 3) SIMO system. Hence the former one may be preferred over the latter. Our simulation results closely match the analytical results

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More information

Accepted/In Press date: 1 August 2015
Published date: 7 August 2015
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 380839
URI: https://eprints.soton.ac.uk/id/eprint/380839
PURE UUID: c1a7607e-ebd1-4e11-8239-f6dbeb8d0577
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 21 Sep 2015 08:58
Last modified: 06 Jun 2018 13:15

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