Coverage and throughput analysis for heterogeneous cellular networks with generalised cell association
The recent adoption of spatial point processes in modeling cellular networks has been instrumental in discovering some closed-form expressions of network performance metrics, such as the coverage and mean interference. The tractability of this network model is due to the Slivnyak theorem of a homoge...
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| Format: | Thesis |
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2016
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| Summary: | The recent adoption of spatial point processes in modeling cellular networks has been instrumental in discovering some closed-form expressions of network performance metrics, such as the coverage and mean interference. The tractability of this network model is due to the Slivnyak theorem of a homogeneous Poisson Point process (PPP). Based on a PPP model, we study the traffic flow problem through cell association between mobile users and base stations (BS) and its impact on the coverage and throughput performance. We drive a general mathematical expression for cell association function in which we demonstrate its practical importance in determining useful statistical properties of the network under various specific cell association schemes that obey certain rules. The network coverage and throughput performance subsequently studied can provide a crucial insight. Namely, the nearest base station association (NBA) scheme is more energy-efficient in terms of the bits-per-joule energy efficiency if compared to the maximum received. Power association (MRPA) scheme, but at the expense of less throughput and smaller coverage. This motivates us to propose an energy-efficient cell association scheme aminig to increase the performance of NBA without degrading much of its achievable energy efficiency. |
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