Stochastic resource allocation in opportunistic LTE-A networks with heterogeneous self-interference cancellation capabilities | IEEE Conference Publication | IEEE Xplore

Stochastic resource allocation in opportunistic LTE-A networks with heterogeneous self-interference cancellation capabilities


Abstract:

Opportunistic spectrum access (OSA) and self-interference cancellation (SIC) are two emerging solutions for enhancing spectrum utilization, which are expected to impact t...Show More

Abstract:

Opportunistic spectrum access (OSA) and self-interference cancellation (SIC) are two emerging solutions for enhancing spectrum utilization, which are expected to impact the design of 5G networks. In this paper, we consider the problem of composing an opportunistic LTE-A network using a set of existing base stations (BSs) with heterogeneous SIC capabilities and costs. The objective is to design the cheapest network that can support the probabilistic rate demands of multiple users. Towards achieving this goal, we propose novel stochastic joint channel and BS allocation schemes that account for uncertainty in channel availability. First, we develop two static (proactive) joint allocation models. We refer to these models as Het-SMKP1 and Hom-SMKP. In these models, the allocation is done once such that user demands are probabilistically met. In Het-SMKP1, a user can request different probabilistic rates for different small cells, whereas in Hom-SMKP each user requests the same probabilistic rate for the entire network. Second, we propose an adaptive (proactive and reactive), two-stage allocation model for heterogeneous rate demands, which we refer to as Het-SMKP2. The adaptive model allows for correcting the initial resource allocation once the channel availability uncertainties are partially resolved. We numerically evaluate the performance of the static and adaptive allocation schemes under various system parameters. Despite its computational complexity, the adaptive scheme improves the probability of rate demand satisfaction considerably compared to the static scheme.
Date of Conference: 29 September 2015 - 02 October 2015
Date Added to IEEE Xplore: 03 December 2015
Electronic ISBN:978-1-4799-7452-8
Conference Location: Stockholm, Sweden

References

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