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In a HAP cellular system with multiple antennas, interference is mainly caused by antennas serving cells on the same channel employing the terrestrial frequency reuse schedule [11].
RNet in a two-dimensional system can be calculated knowing the data rates achievable on each of the links, and by considering the spatial reuse schedule imposed by the medium access control layer (MAC).
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Use spatial reuse scheduling among subcells throughout the cell in order to increase spectral efficiency per unit area.
As a first step, we consider non-spatial reuse scheduling, in which only one station in the entire macrocell is allowed to transmit in a channel at a particular time.
This means that neither the frequency reuse strategy nor the scheduling algorithm affects the fairness in bandwidth sharing of best effort flows.
The effect of temporal reuse on schedule capacity is determined for schedules optimised in the unaware rate region C with transmission rights extended afterwards.
The temporal reuse-aware schedule (CVXAware) achieves a better fairness than the unaware (CVX-LET) schedule, and fairness is not compromised with the use of NC for the CVXAware schedule.
A generic temporal reuse-aware schedule optimiser can be practically implemented with column generation according to the algorithm in Section 5, and the benefits of the new scheduler are determined in the computational experiments described in Section 6. Multihop wireless mesh networks with N nodes n ∈ N and L links l ∈ L are considered.
Significantly less power is used with the power-adaptive schedules, and when network coding is used, the temporal reuse-aware schedules achieve greater added efficiency than the non-aware schedules.
where K denotes the number of users in each cell, which is the number of orthogonal pilot sequence set when FRPS (fully reused pilot scheduling) scheme is adopted.
The wireless networks and traffic models studied are defined in Section 2 and the achievable rate region and cross-layer optimisation framework for link-assigned schedules are reconsidered in Section 3. The role of temporal reuse in improving schedule performance is motivated in Section 4, where a new temporal reuse-aware rate region is also formulated.
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Justyna Jupowicz-Kozak
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