Correlation-aware Resource Allocation in Multi-Cell Networks

Details Correlation-aware Resource Allocation in Multi-Cell Networks Correlation-aware Resource Allocation in Multi-Cell Networks

2011-12-12

arxiv.org/abs/1112.2723v1

Computer Science

Information Theory

Scientific paper

We propose a cross-layer strategy for resource allocation between spatially correlated sources in the uplink of multi-cell FDMA networks. Our objective is to find the optimum power and channel to sources, in order to minimize the maximum distortion achieved by any source in the network. Given that the network is multi-cell, the inter-cell interference must also be taken into consideration. This resource allocation problem is NP-hard and the optimal solution can only be found by exhaustive search over the entire solution space, which is not computationally feasible. We propose a three step method to be performed separately by the scheduler in each cell, which finds cross-layer resource allocation in simple steps. The three- step algorithm separates the problem into inter-cell resource management, grouping of sources for joint decoding, and intra- cell channel assignment. For each of the steps we propose allocation methods that satisfy different design constraints. In the simulations we compare methods for each step of the algorithm. We also demonstrate the overall gain of using correlation-aware resource allocation for a typical multi-cell network of Gaussian sources. We show that, while using correlation in compression and joint decoding can achieve 25% loss in distortion over independent decoding, this loss can be increased to 37% when correlation is also utilized in resource allocation method. This significant distortion loss motivates further work in correlation-aware resource allocation. Overall, we find that our method achieves a 60% decrease in 5 percentile distortion compared to independent methods.

Affiliated with

Also associated with

No associations

Rating

Correlation-aware Resource Allocation in Multi-Cell Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Correlation-aware Resource Allocation in Multi-Cell Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Correlation-aware Resource Allocation in Multi-Cell Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-484925