Abstract

Multicell joint processing has originated from information-theoretic principles as a means of reaching the fundamental capacity limits of cellular networks. However, global multicell joint decoding is highly complex and in practice clusters of cooperating Base Stations constitute a more realistic scenario. In this direction, the mitigation of intercluster interference rises as a critical factor towards achieving the promised throughput gains. In this paper, two intercluster interference mitigation techniques are investigated and compared, namely interference alignment and resource division multiple access. The cases of global multicell joint processing and cochannel interference allowance are also considered as an upper and lower bound to the interference alignment scheme, respectively. Each case is modelled and analyzed using the per-cell ergodic sum-rate throughput as a figure of merit. In this process, the asymptotic eigenvalue distribution of the channel covariance matrices is analytically derived based on free-probabilistic arguments in order to quantify the sum-rate throughput. Using numerical results, it is established that resource division multiple access is preferable for dense cellular systems, while cochannel interference allowance is advantageous for highly sparse cellular systems. Interference alignment provides superior performance for average to sparse cellular systems on the expense of higher complexity.

Highlights

  • Cellular networks carry the main bulk of wireless traffic and as a result they risk being saturated considering the ever increasing traffic imposed by internet data services

  • Taking all this into account, the current paper considers the uplink of a clustered multicell joint decoding (MJD) system and proposes a new communication strategy for mitigating intercluster interference using interference alignment (IA)

  • The main contributions are: 1. the channel modelling of a clustered MJD system with IA as intercluster interference mitigation technique, 2. the analytical derivation of the ergodic throughput based on free probabilistic arguments in the R-transform domain, 3. the analytical comparison with the upper bound of global MJD, the Resource Division Multiple Access (RDMA) scheme and the lower bound of clustered MJD with Cochannel Interference allowance (CI), 4. the comparison of the derived closed-form expressions with Monte Carlo simulations and the performance evaluation using numerical results

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Summary

Introduction

Cellular networks carry the main bulk of wireless traffic and as a result they risk being saturated considering the ever increasing traffic imposed by internet data services In this context, the academic community in collaboration with industry and standardization bodies have been investigating innovative network architectures and communication techniques which can overcome the interference-limited nature of cellular systems. Taking all this into account, the current paper considers the uplink of a clustered multicell joint decoding (MJD) system and proposes a new communication strategy for mitigating intercluster interference using interference alignment (IA).

Related work
Mn log
Interference alignment
Equivalent channel matrix
Conclusion
A Proof of theorem
60 GMJD MC GMJD An IA MC IA An RDMA MC RDMA An CI MC CI An

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